Deck 14: Analysis of Variance

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Question
<strong>  How many degrees of freedom are there for SSE.</strong> A) 3 B) 18 C) 2 D) 19 <div style=padding-top: 35px> How many degrees of freedom are there for SSE.

A) 3
B) 18
C) 2
D) 19
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Question
Samples were drawn from three populations. The sample sizes were n1=8, n2=8, and n3=7 . The sample means were Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance.<div style=padding-top: 35px> , and Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance.<div style=padding-top: 35px> =2.57 . The sample standard deviations were s1=0.27, s2=0.45, and s3=0.25 . The grand mean is Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance.<div style=padding-top: 35px> =2.055217.

i). Compute the sums of squares SSTr and SSE.
ii). How many degrees of freedom are there for SSTr and SSE?
iii). Compute the sums of squares MSTr and MSE.
iv). Compute the value of the test statistic F.
v). Can you conclude that two or more of the population means are different? Use the Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance.<div style=padding-top: 35px> level of
significance.
Question
In a one-way ANOVA, the following data were collected: <strong>In a one-way ANOVA, the following data were collected:   How many samples are there?</strong> A) 17 B) 5 C) 4 D) 22 <div style=padding-top: 35px> How many samples are there?

A) 17
B) 5
C) 4
D) 22
Question
<strong>  Compute the sum of squares SSTr.</strong> A) 2.6317 B) 0.2604 C) 0.1302 D) 0.8905 <div style=padding-top: 35px> Compute the sum of squares SSTr.

A) 2.6317
B) 0.2604
C) 0.1302
D) 0.8905
Question
<strong>  Compute the mean squares MSE.</strong> A) 1.5610 B) 2.3847 C) 0.1325 D) 0.7805 <div style=padding-top: 35px> Compute the mean squares MSE.

A) 1.5610
B) 2.3847
C) 0.1325
D) 0.7805
Question
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September. <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Can you conclude that the weekly sales varies with the month? Use the   level of significance.</strong> A) No B) Yes <div style=padding-top: 35px> Can you conclude that the weekly sales varies with the month? Use the <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Can you conclude that the weekly sales varies with the month? Use the   level of significance.</strong> A) No B) Yes <div style=padding-top: 35px> level of significance.

A) No
B) Yes
Question
<strong>  Compute the sum of squares SSE.</strong> A) 0.7919 B) 0.3959 C) 3.7611 D) 2.1055 <div style=padding-top: 35px> Compute the sum of squares SSE.

A) 0.7919
B) 0.3959
C) 3.7611
D) 2.1055
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.42, SSE = 2.15, N = 30, I = 4.
i). How many samples are there?
ii). How many degrees of freedom are there for SSTr and SSE?
iii). Compute the mean squares MSTr and MSE.
iv). Compute the value of the test statistic F.
Question
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at
which it is absorbed into the skin after contact. An important question is whether the amount in the
skin continues to increase with the length of the contact, or whether it increases for only a short time
before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20
samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The
amounts of the chemical (in micrograms) that were in the skin are given in the following table: One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the skin continues to increase with the length of the contact, or whether it increases for only a short time before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The amounts of the chemical (in micrograms) that were in the skin are given in the following table:  <div style=padding-top: 35px>
Question
<strong>  How many degrees of freedom are there for SSTr.</strong> A) 2 B) 3 C) 24 D) 23 <div style=padding-top: 35px> How many degrees of freedom are there for SSTr.

A) 2
B) 3
C) 24
D) 23
Question
<strong>  Can you conclude that two or more of the population means are different? Use the α = 0.05 level of significance.</strong> A) No B) Yes <div style=padding-top: 35px> Can you conclude that two or more of the population means are different? Use the α = 0.05 level of significance.

A) No
B) Yes
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.49, SSE = 2.2, N = 35, I = 4. Compute the mean squares MSE.

A) 0.0158
B) 0.0710
C) 0.1633
D) 2.3015
Question
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for
the months June through September. The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   i). Construct an ANOVA table. ii). Can you conclude that the weekly sales varies with the month? Use the   level of significance.<div style=padding-top: 35px> i). Construct an ANOVA table.
ii). Can you conclude that the weekly sales varies with the month? Use the The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   i). Construct an ANOVA table. ii). Can you conclude that the weekly sales varies with the month? Use the   level of significance.<div style=padding-top: 35px> level of significance.
Question
<strong>  Compute the mean squares MSTr.</strong> A) 3.0039 B) 1.2667 C) 0.2114 D) 0.4228 <div style=padding-top: 35px> Compute the mean squares MSTr.

A) 3.0039
B) 1.2667
C) 0.2114
D) 0.4228
Question
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September. <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. <div style=padding-top: 35px> Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. <div style=padding-top: 35px> level of Significance.

A) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. <div style=padding-top: 35px>
B) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. <div style=padding-top: 35px>
C) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. <div style=padding-top: 35px>
D) There is not enough evidence to conclude that any of the means differ.
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.3, SSE = 1.55, N = 35, I = 6. Compute the mean squares MSTr.

A) 0.0534
B) 0.0103
C) 1.1226
D) 0.0600
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.43, SSE = 1.87, N = 39, I = 5. How many degrees of freedom are there for SSTr?

A) 5
B) 39
C) 4
D) 34
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.37, SSE = 2.31, N = 30, I = 3. Compute the value of the test statistic F.

A) 0.1850
B) 0.0137
C) 2.1623
D) 0.0856
Question
<strong>  Compute the value of the test statistic F.</strong> A) 0.782 B) 2.194 C) 0.101 D) 0.202 <div style=padding-top: 35px> Compute the value of the test statistic F.

A) 0.782
B) 2.194
C) 0.101
D) 0.202
Question
In a one-way ANOVA, the following data were collected: SSTr = 0.43, SSE = 2.32, N = 33, I = 6. How many degrees of freedom are there for SSE?

A) 6
B) 27
C) 5
D) 33
Question
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers). <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   <div style=padding-top: 35px> Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   <div style=padding-top: 35px> level of Significance.

A) There is not enough evidence to conclude that any of the means differ.
B) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   <div style=padding-top: 35px>
Question
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below. <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the   level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the   level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> level of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of SSE?</strong> A) 0.04625 B) 0.8025 C) 0.555 D) 0.2675 <div style=padding-top: 35px> What is the value of SSE?

A) 0.04625
B) 0.8025
C) 0.555
D) 0.2675
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of the test statistic?</strong> A) 0.4925 B) 6.459016 C) 0.025417 D) 0.007519 <div style=padding-top: 35px> What is the value of the test statistic?

A) 0.4925
B) 6.459016
C) 0.025417
D) 0.007519
Question
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are not large B) Interactions are large <div style=padding-top: 35px>

A) Interactions are not large
B) Interactions are large
Question
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
Apart. For each combination of curing time and curing temperature, three tests are performed. The
Results of the experiment are shown below.
<strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the   level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) Yes. Do not reject H<sub>0</sub>. C) No. <div style=padding-top: 35px>
Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the   level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) Yes. Do not reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> level of significance.

A) Yes. Reject H0
B) Yes. Do not reject H0.
C) No.
Question
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different
Diameters were tested. The following table presents measurements of head roughness (in
Nanometers). <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Can you conclude that the mean roughness varies with diameter? Use the   level of significance.</strong> A) Yes B) No <div style=padding-top: 35px> Can you conclude that the mean roughness varies with diameter? Use the <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Can you conclude that the mean roughness varies with diameter? Use the   level of significance.</strong> A) Yes B) No <div style=padding-top: 35px> level of significance.

A) Yes
B) No
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of SSTr?</strong> A) 0.049792 B) 0.5975 C) 0.152292 D) 0.456875 <div style=padding-top: 35px> What is the value of SSTr?

A) 0.049792
B) 0.5975
C) 0.152292
D) 0.456875
Question
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are not large B) Interactions are large <div style=padding-top: 35px>

A) Interactions are not large
B) Interactions are large
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the P-value?</strong> A) 0.326875 B) 0.022708 C) 4.798165 D) 0.020211 <div style=padding-top: 35px> What is the P-value?

A) 0.326875
B) 0.022708
C) 4.798165
D) 0.020211
Question
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
Apart. For each combination of curing time and curing temperature, three tests are performed. The
Results of the experiment are shown below. <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can you reject the hypothesis of no interactions?</strong> A) No B) Yes <div style=padding-top: 35px> Can you reject the hypothesis of no interactions?

A) No
B) Yes
Question
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough.
Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were
tested. The following table presents measurements of head roughness (in nanometers). Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were tested. The following table presents measurements of head roughness (in nanometers).   i). Construct an ANOVA table. ii). Can you conclude that the mean roughness varies with diameter? Use the   level of significance.<div style=padding-top: 35px> i). Construct an ANOVA table.
ii). Can you conclude that the mean roughness varies with diameter? Use the Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were tested. The following table presents measurements of head roughness (in nanometers).   i). Construct an ANOVA table. ii). Can you conclude that the mean roughness varies with diameter? Use the   level of significance.<div style=padding-top: 35px> level of significance.
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of MSE?</strong> A) 0.3125 B) 0.365 C) 0.030417 D) 0.104167 <div style=padding-top: 35px> What is the value of MSE?

A) 0.3125
B) 0.365
C) 0.030417
D) 0.104167
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   Can you conclude that the mean fill volume differs among the filling machines? Use the   level of Significance.</strong> A) No B) Yes <div style=padding-top: 35px> Can you conclude that the mean fill volume differs among the filling machines? Use the <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   Can you conclude that the mean fill volume differs among the filling machines? Use the   level of Significance.</strong> A) No B) Yes <div style=padding-top: 35px> level of
Significance.

A) No
B) Yes
Question
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table: <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   <div style=padding-top: 35px> Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   <div style=padding-top: 35px> level of Significance.

A) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   <div style=padding-top: 35px>
B) There is not enough evidence to conclude that any of the means differ.
C) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   <div style=padding-top: 35px>
D) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   <div style=padding-top: 35px>
Question
An experiment is conducted to study the effects of curing times and curing temperatures on the
bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
apart. For each combination of curing time and curing temperature, three tests are performed. The
results of the experiment are shown below. An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond apart. For each combination of curing time and curing temperature, three tests are performed. The results of the experiment are shown below.   i). Can you reject the hypothesis of no interactions? ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the main effect using the α = 0.05 level of significance. iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using the   level of significance.<div style=padding-top: 35px> i). Can you reject the hypothesis of no interactions?
ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret
the main effect using the α = 0.05 level of significance.
iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using
the An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond apart. For each combination of curing time and curing temperature, three tests are performed. The results of the experiment are shown below.   i). Can you reject the hypothesis of no interactions? ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the main effect using the α = 0.05 level of significance. iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using the   level of significance.<div style=padding-top: 35px> level of significance.
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of MSTr?</strong> A) 0.111667 B) 0.305 C) 0.025417 D) 0.335 <div style=padding-top: 35px> What is the value of MSTr?

A) 0.111667
B) 0.305
C) 0.025417
D) 0.335
Question
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water.
The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
the mean fill volumes differ among the filling machines. In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether the mean fill volumes differ among the filling machines.   i). State the null hypothesis. ii). How many filling machines were involved in the study? iii). Assume the design was balanced. How many water bottles were measured for each filling machine? iv). What are the values of SSTr, SSE, MSTr, and MSE? v). What is the value of the test statistic? vi). What is the P-value? vii). Can you conclude that the mean fill volume differs among the filling machines? Use the   level of significance.<div style=padding-top: 35px> i). State the null hypothesis.
ii). How many filling machines were involved in the study?
iii). Assume the design was balanced. How many water bottles were measured for each filling machine?
iv). What are the values of SSTr, SSE, MSTr, and MSE?
v). What is the value of the test statistic?
vi). What is the P-value?
vii). Can you conclude that the mean fill volume differs among the filling machines? Use the In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether the mean fill volumes differ among the filling machines.   i). State the null hypothesis. ii). How many filling machines were involved in the study? iii). Assume the design was balanced. How many water bottles were measured for each filling machine? iv). What are the values of SSTr, SSE, MSTr, and MSE? v). What is the value of the test statistic? vi). What is the P-value? vii). Can you conclude that the mean fill volume differs among the filling machines? Use the   level of significance.<div style=padding-top: 35px> level
of significance.
Question
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the
Skin continues to increase with the length of the contact, or whether it increases for only a short time
Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20
Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The
Amounts of the chemical (in micrograms) that were in the skin are given in the following table: <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Can you conclude the amount in the skin varies with time? Use the   level of significance.</strong> A) No B) Yes <div style=padding-top: 35px> Can you conclude the amount in the skin varies with time? Use the <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Can you conclude the amount in the skin varies with time? Use the   level of significance.</strong> A) No B) Yes <div style=padding-top: 35px> level of significance.

A) No
B) Yes
Question
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are large B) Interactions are not large <div style=padding-top: 35px>

A) Interactions are large
B) Interactions are not large
Question
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the   level Of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the   level Of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> level Of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
Question
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber
concrete beams for three levels of binder content and three levels of rubber content. The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   level of significance. iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance.<div style=padding-top: 35px>
i). Can you reject the hypothesis of no interactions?
ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   level of significance. iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance.<div style=padding-top: 35px> level of significance.
iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance.
Question
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the a= level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) No. C) Yes. Do not reject H<sub>0</sub> <div style=padding-top: 35px>
Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the a= level of significance.

A) Yes. Reject H0
B) No.
C) Yes. Do not reject H0
Question
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil
mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the α = 0.01 level of significance. iii). Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.01 level of significance.<div style=padding-top: 35px> i). Can you reject the hypothesis of no interactions?
ii). Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the α = 0.01
level of significance.
iii). Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.01
level of significance.
Question
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can you reject the hypothesis of no interactions?</strong> A) Yes B) No <div style=padding-top: 35px> Can you reject the hypothesis of no interactions?

A) Yes
B) No
Question
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can you reject the hypothesis of no interactions?</strong> A) No B) Yes <div style=padding-top: 35px> Can you reject the hypothesis of no interactions?

A) No
B) Yes
Question
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   = 0.01 Level of significance. </strong> A) No. B) Yes. Reject. H<sub>0</sub> C) Yes. Do not reject H<sub>0</sub> <div style=padding-top: 35px> Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   = 0.01 Level of significance. </strong> A) No. B) Yes. Reject. H<sub>0</sub> C) Yes. Do not reject H<sub>0</sub> <div style=padding-top: 35px> = 0.01 Level of significance.

A) No.
B) Yes. Reject. H0
C) Yes. Do not reject H0
Question
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.05 Level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. <div style=padding-top: 35px> Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.05 Level of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
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Deck 14: Analysis of Variance
1
<strong>  How many degrees of freedom are there for SSE.</strong> A) 3 B) 18 C) 2 D) 19 How many degrees of freedom are there for SSE.

A) 3
B) 18
C) 2
D) 19
19
2
Samples were drawn from three populations. The sample sizes were n1=8, n2=8, and n3=7 . The sample means were Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance. , and Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance.=2.57 . The sample standard deviations were s1=0.27, s2=0.45, and s3=0.25 . The grand mean is Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance. =2.055217.

i). Compute the sums of squares SSTr and SSE.
ii). How many degrees of freedom are there for SSTr and SSE?
iii). Compute the sums of squares MSTr and MSE.
iv). Compute the value of the test statistic F.
v). Can you conclude that two or more of the population means are different? Use the Samples were drawn from three populations. The sample sizes were n<sub>1</sub>=8, n<sub>2</sub>=8, and n<sub>3</sub>=7 . The sample means were   , and  =2.57 . The sample standard deviations were s<sub>1</sub>=0.27, s<sub>2</sub>=0.45, and s<sub>3</sub>=0.25 . The grand mean is   =2.055217.  i). Compute the sums of squares SSTr and SSE. ii). How many degrees of freedom are there for SSTr and SSE? iii). Compute the sums of squares MSTr and MSE. iv). Compute the value of the test statistic F. v). Can you conclude that two or more of the population means are different? Use the   level of significance. level of
significance.
i). SSTr = 2.8970; SSE = 2.3028
ii). degrees of freedom for SSTr = 2; degrees of freedom for SSE = 20
iii). MSTr = 1.4485; MSE = 0.1151
iv). 12.580
v). Yes
3
In a one-way ANOVA, the following data were collected: <strong>In a one-way ANOVA, the following data were collected:   How many samples are there?</strong> A) 17 B) 5 C) 4 D) 22 How many samples are there?

A) 17
B) 5
C) 4
D) 22
5
4
<strong>  Compute the sum of squares SSTr.</strong> A) 2.6317 B) 0.2604 C) 0.1302 D) 0.8905 Compute the sum of squares SSTr.

A) 2.6317
B) 0.2604
C) 0.1302
D) 0.8905
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5
<strong>  Compute the mean squares MSE.</strong> A) 1.5610 B) 2.3847 C) 0.1325 D) 0.7805 Compute the mean squares MSE.

A) 1.5610
B) 2.3847
C) 0.1325
D) 0.7805
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6
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September. <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Can you conclude that the weekly sales varies with the month? Use the   level of significance.</strong> A) No B) Yes Can you conclude that the weekly sales varies with the month? Use the <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Can you conclude that the weekly sales varies with the month? Use the   level of significance.</strong> A) No B) Yes level of significance.

A) No
B) Yes
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7
<strong>  Compute the sum of squares SSE.</strong> A) 0.7919 B) 0.3959 C) 3.7611 D) 2.1055 Compute the sum of squares SSE.

A) 0.7919
B) 0.3959
C) 3.7611
D) 2.1055
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8
In a one-way ANOVA, the following data were collected: SSTr = 0.42, SSE = 2.15, N = 30, I = 4.
i). How many samples are there?
ii). How many degrees of freedom are there for SSTr and SSE?
iii). Compute the mean squares MSTr and MSE.
iv). Compute the value of the test statistic F.
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9
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at
which it is absorbed into the skin after contact. An important question is whether the amount in the
skin continues to increase with the length of the contact, or whether it increases for only a short time
before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20
samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The
amounts of the chemical (in micrograms) that were in the skin are given in the following table: One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the skin continues to increase with the length of the contact, or whether it increases for only a short time before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The amounts of the chemical (in micrograms) that were in the skin are given in the following table:
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10
<strong>  How many degrees of freedom are there for SSTr.</strong> A) 2 B) 3 C) 24 D) 23 How many degrees of freedom are there for SSTr.

A) 2
B) 3
C) 24
D) 23
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11
<strong>  Can you conclude that two or more of the population means are different? Use the α = 0.05 level of significance.</strong> A) No B) Yes Can you conclude that two or more of the population means are different? Use the α = 0.05 level of significance.

A) No
B) Yes
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12
In a one-way ANOVA, the following data were collected: SSTr = 0.49, SSE = 2.2, N = 35, I = 4. Compute the mean squares MSE.

A) 0.0158
B) 0.0710
C) 0.1633
D) 2.3015
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13
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for
the months June through September. The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   i). Construct an ANOVA table. ii). Can you conclude that the weekly sales varies with the month? Use the   level of significance. i). Construct an ANOVA table.
ii). Can you conclude that the weekly sales varies with the month? Use the The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   i). Construct an ANOVA table. ii). Can you conclude that the weekly sales varies with the month? Use the   level of significance. level of significance.
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14
<strong>  Compute the mean squares MSTr.</strong> A) 3.0039 B) 1.2667 C) 0.2114 D) 0.4228 Compute the mean squares MSTr.

A) 3.0039
B) 1.2667
C) 0.2114
D) 0.4228
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15
The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September. <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ. level of Significance.

A) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ.
B) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ.
C) <strong>The following table shows the weekly total sales (in dollars) at a small roadside vegetable stand for the months June through September.   Perform a Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B)   C)   D) There is not enough evidence to conclude that any of the means differ.
D) There is not enough evidence to conclude that any of the means differ.
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16
In a one-way ANOVA, the following data were collected: SSTr = 0.3, SSE = 1.55, N = 35, I = 6. Compute the mean squares MSTr.

A) 0.0534
B) 0.0103
C) 1.1226
D) 0.0600
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17
In a one-way ANOVA, the following data were collected: SSTr = 0.43, SSE = 1.87, N = 39, I = 5. How many degrees of freedom are there for SSTr?

A) 5
B) 39
C) 4
D) 34
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18
In a one-way ANOVA, the following data were collected: SSTr = 0.37, SSE = 2.31, N = 30, I = 3. Compute the value of the test statistic F.

A) 0.1850
B) 0.0137
C) 2.1623
D) 0.0856
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19
<strong>  Compute the value of the test statistic F.</strong> A) 0.782 B) 2.194 C) 0.101 D) 0.202 Compute the value of the test statistic F.

A) 0.782
B) 2.194
C) 0.101
D) 0.202
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20
In a one-way ANOVA, the following data were collected: SSTr = 0.43, SSE = 2.32, N = 33, I = 6. How many degrees of freedom are there for SSE?

A) 6
B) 27
C) 5
D) 33
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21
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers). <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)   level of Significance.

A) There is not enough evidence to conclude that any of the means differ.
B) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)
C) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)
D) <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A) There is not enough evidence to conclude that any of the means differ. B)   C)   D)
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22
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below. <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the   level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the Main effect using the   level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. level of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
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23
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of SSE?</strong> A) 0.04625 B) 0.8025 C) 0.555 D) 0.2675 What is the value of SSE?

A) 0.04625
B) 0.8025
C) 0.555
D) 0.2675
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24
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of the test statistic?</strong> A) 0.4925 B) 6.459016 C) 0.025417 D) 0.007519 What is the value of the test statistic?

A) 0.4925
B) 6.459016
C) 0.025417
D) 0.007519
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25
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are not large B) Interactions are large

A) Interactions are not large
B) Interactions are large
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26
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
Apart. For each combination of curing time and curing temperature, three tests are performed. The
Results of the experiment are shown below.
<strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the   level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) Yes. Do not reject H<sub>0</sub>. C) No.
Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect. using the   level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) Yes. Do not reject H<sub>0</sub>. C) No. level of significance.

A) Yes. Reject H0
B) Yes. Do not reject H0.
C) No.
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27
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different
Diameters were tested. The following table presents measurements of head roughness (in
Nanometers). <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Can you conclude that the mean roughness varies with diameter? Use the   level of significance.</strong> A) Yes B) No Can you conclude that the mean roughness varies with diameter? Use the <strong>Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal artificial; hip joints. Joints with several different Diameters were tested. The following table presents measurements of head roughness (in Nanometers).   Can you conclude that the mean roughness varies with diameter? Use the   level of significance.</strong> A) Yes B) No level of significance.

A) Yes
B) No
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28
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of SSTr?</strong> A) 0.049792 B) 0.5975 C) 0.152292 D) 0.456875 What is the value of SSTr?

A) 0.049792
B) 0.5975
C) 0.152292
D) 0.456875
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29
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are not large B) Interactions are large

A) Interactions are not large
B) Interactions are large
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30
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the P-value?</strong> A) 0.326875 B) 0.022708 C) 4.798165 D) 0.020211 What is the P-value?

A) 0.326875
B) 0.022708
C) 4.798165
D) 0.020211
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31
An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
Apart. For each combination of curing time and curing temperature, three tests are performed. The
Results of the experiment are shown below. <strong>An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together End-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond Apart. For each combination of curing time and curing temperature, three tests are performed. The Results of the experiment are shown below.   Can you reject the hypothesis of no interactions?</strong> A) No B) Yes Can you reject the hypothesis of no interactions?

A) No
B) Yes
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32
Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough.
Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were
tested. The following table presents measurements of head roughness (in nanometers). Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were tested. The following table presents measurements of head roughness (in nanometers).   i). Construct an ANOVA table. ii). Can you conclude that the mean roughness varies with diameter? Use the   level of significance. i). Construct an ANOVA table.
ii). Can you conclude that the mean roughness varies with diameter? Use the Artificial hip joints consist of a ball and socket. As the joint wears, the ball (head) becomes rough. Investigators performed wear tests on metal, artificial hip joints. Joints with several different diameters were tested. The following table presents measurements of head roughness (in nanometers).   i). Construct an ANOVA table. ii). Can you conclude that the mean roughness varies with diameter? Use the   level of significance. level of significance.
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33
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of MSE?</strong> A) 0.3125 B) 0.365 C) 0.030417 D) 0.104167 What is the value of MSE?

A) 0.3125
B) 0.365
C) 0.030417
D) 0.104167
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34
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   Can you conclude that the mean fill volume differs among the filling machines? Use the   level of Significance.</strong> A) No B) Yes Can you conclude that the mean fill volume differs among the filling machines? Use the <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   Can you conclude that the mean fill volume differs among the filling machines? Use the   level of Significance.</strong> A) No B) Yes level of
Significance.

A) No
B) Yes
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35
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table: <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)   level of Significance.

A) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)
B) There is not enough evidence to conclude that any of the means differ.
C) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)
D) <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Perform the Tukey-Kramer test to determine which pairs of means, if any, differ. Use the   level of Significance. </strong> A)   B) There is not enough evidence to conclude that any of the means differ. C)   D)
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36
An experiment is conducted to study the effects of curing times and curing temperatures on the
bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together
end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond
apart. For each combination of curing time and curing temperature, three tests are performed. The
results of the experiment are shown below. An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond apart. For each combination of curing time and curing temperature, three tests are performed. The results of the experiment are shown below.   i). Can you reject the hypothesis of no interactions? ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the main effect using the α = 0.05 level of significance. iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using the   level of significance. i). Can you reject the hypothesis of no interactions?
ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret
the main effect using the α = 0.05 level of significance.
iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using
the An experiment is conducted to study the effects of curing times and curing temperatures on the bonding strength of an epoxy adhesive. In the experiment, two steel rods are adhered together end-to-end, and the bonding strength is defined as the force, in pounds, required to pull the bond apart. For each combination of curing time and curing temperature, three tests are performed. The results of the experiment are shown below.   i). Can you reject the hypothesis of no interactions? ii). Can the main effect of curing temperature (low or high) on bonding strength be interpreted? If so, interpret the main effect using the α = 0.05 level of significance. iii). Can the main effect of curing time on bonding strength be interpreted? If so, interpret the main effect using the   level of significance. level of significance.
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37
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
The mean fill volumes differ among the filling machines. <strong>In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether The mean fill volumes differ among the filling machines.   What is the value of MSTr?</strong> A) 0.111667 B) 0.305 C) 0.025417 D) 0.335 What is the value of MSTr?

A) 0.111667
B) 0.305
C) 0.025417
D) 0.335
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38
In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water.
The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether
the mean fill volumes differ among the filling machines. In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether the mean fill volumes differ among the filling machines.   i). State the null hypothesis. ii). How many filling machines were involved in the study? iii). Assume the design was balanced. How many water bottles were measured for each filling machine? iv). What are the values of SSTr, SSE, MSTr, and MSE? v). What is the value of the test statistic? vi). What is the P-value? vii). Can you conclude that the mean fill volume differs among the filling machines? Use the   level of significance. i). State the null hypothesis.
ii). How many filling machines were involved in the study?
iii). Assume the design was balanced. How many water bottles were measured for each filling machine?
iv). What are the values of SSTr, SSE, MSTr, and MSE?
v). What is the value of the test statistic?
vi). What is the P-value?
vii). Can you conclude that the mean fill volume differs among the filling machines? Use the In a water-bottling facility, several machines fill plastic bottles with 16 ounces of drinking water. The following TI-84 Plus display presents the results of a one-way ANOVA to determine whether the mean fill volumes differ among the filling machines.   i). State the null hypothesis. ii). How many filling machines were involved in the study? iii). Assume the design was balanced. How many water bottles were measured for each filling machine? iv). What are the values of SSTr, SSE, MSTr, and MSE? v). What is the value of the test statistic? vi). What is the P-value? vii). Can you conclude that the mean fill volume differs among the filling machines? Use the   level of significance. level
of significance.
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39
One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the
Skin continues to increase with the length of the contact, or whether it increases for only a short time
Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20
Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The
Amounts of the chemical (in micrograms) that were in the skin are given in the following table: <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Can you conclude the amount in the skin varies with time? Use the   level of significance.</strong> A) No B) Yes Can you conclude the amount in the skin varies with time? Use the <strong>One of the factors that determines the degree of risk a pesticide poses to human health is the rate at which it is absorbed into the skin after contact. An important question is whether the amount in the Skin continues to increase with the length of the contact, or whether it increases for only a short time Before leveling off. To investigate this, measured amounts of a certain pesticide were applied to 20 Samples of rat skin. Four skins were analyzed at each of the time intervals 1, 2, 4, 10, and 24 hours. The Amounts of the chemical (in micrograms) that were in the skin are given in the following table:   Can you conclude the amount in the skin varies with time? Use the   level of significance.</strong> A) No B) Yes level of significance.

A) No
B) Yes
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40
Interpret the interaction plot by explaining whether there appear to be large interactions between factors. <strong>Interpret the interaction plot by explaining whether there appear to be large interactions between factors.  </strong> A) Interactions are large B) Interactions are not large

A) Interactions are large
B) Interactions are not large
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41
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the   level Of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the   level Of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. level Of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
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42
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber
concrete beams for three levels of binder content and three levels of rubber content. The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   level of significance. iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance.
i). Can you reject the hypothesis of no interactions?
ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   level of significance. iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance. level of significance.
iii). Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the level of significance.
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43
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the a= level of significance.</strong> A) Yes. Reject H<sub>0</sub> B) No. C) Yes. Do not reject H<sub>0</sub>
Can the mean effect of the rubber content be interpreted? If so, interpret the main effect. Use the a= level of significance.

A) Yes. Reject H0
B) No.
C) Yes. Do not reject H0
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44
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil
mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   i). Can you reject the hypothesis of no interactions? ii). Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the α = 0.01 level of significance. iii). Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.01 level of significance. i). Can you reject the hypothesis of no interactions?
ii). Can the mean effect of the soil mixture be interpreted? If so, interpret the main effect. Use the α = 0.01
level of significance.
iii). Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.01
level of significance.
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45
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can you reject the hypothesis of no interactions?</strong> A) Yes B) No Can you reject the hypothesis of no interactions?

A) Yes
B) No
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46
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can you reject the hypothesis of no interactions?</strong> A) No B) Yes Can you reject the hypothesis of no interactions?

A) No
B) Yes
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47
The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content. <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   = 0.01 Level of significance. </strong> A) No. B) Yes. Reject. H<sub>0</sub> C) Yes. Do not reject H<sub>0</sub> Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the <strong>The following table presents measurements of the tensile strength (in kilopascals) of asphalt-rubber concrete beams for three levels of binder content and three levels of rubber content.   Can the mean effect of the binder content be interpreted? If so, interpret the main effect. Use the   = 0.01 Level of significance. </strong> A) No. B) Yes. Reject. H<sub>0</sub> C) Yes. Do not reject H<sub>0</sub> = 0.01 Level of significance.

A) No.
B) Yes. Reject. H0
C) Yes. Do not reject H0
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48
An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following
MINITAB output presents the results. <strong>An agricultural scientist performs a 2-way ANOVA to determine the effects of three different soil mixtures on the sprouting time (in days) of three varieties of hybrid cucumber seeds. The following MINITAB output presents the results.   Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.05 Level of significance. </strong> A) Yes. Do not reject H<sub>0</sub>. B) Yes. Reject H<sub>0</sub>. C) No. Can the mean effect of the hybrid variety be interpreted? If so, interpret the main effect. Use the α = 0.05 Level of significance.

A) Yes. Do not reject H0.
B) Yes. Reject H0.
C) No.
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Unlock Deck
Unlock for access to all 48 flashcards in this deck.