Deck 14: Analysis of Variance Anova

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Question
Consider the following data:
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.   <div style=padding-top: 35px>

A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.   <div style=padding-top: 35px>
B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively.
C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f.
and Treatment d.f., respectively.
D) Summarize by completing the ANOVA table.
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.   <div style=padding-top: 35px>
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Question
Use the relations for sums of squares and d.f. to complete the following ANOVA table.
Use the relations for sums of squares and d.f. to complete the following ANOVA table.  <div style=padding-top: 35px>
Question
Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.   <div style=padding-top: 35px>

A) Provide a decomposition of the observations by completing the table.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.   <div style=padding-top: 35px>
B) Obtain the ANOVA table.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.   <div style=padding-top: 35px>
Question
The following table is associated with the average number of patients served,
0ver 6 days, at different months of the year.
The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.  <div style=padding-top: 35px> The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.  <div style=padding-top: 35px> Present the ANOVA table for these data.
The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.  <div style=padding-top: 35px>
Question
Using the table of percentage points for the F distribution, find the upper 10% point when v1 = 8 and v2 = 120.

A) 1.72
B) 2.34
C) 2.02
Question
Consider the following ANOVA table.
Consider the following ANOVA table.   Carry out the F test for equality of means taking α = 0.010. Answer The null hypothesis is rejected at level α = 0.010 or The null hypothesis is not rejected at level α = 0.010.<div style=padding-top: 35px> Carry out the F test for equality of means taking α = 0.010. Answer "The null hypothesis is rejected at level α = 0.010"
or "The null hypothesis is not rejected at level α = 0.010".
Question
Consider the following ANOVA table.
Consider the following ANOVA table.   Test for equality of means using α = 0.100. Answer H<sub>0</sub> is rejected at α = 0.100 or H<sub>0</sub> is not rejected at α = 0.100.<div style=padding-top: 35px> Test for equality of means using α = 0.100. Answer "H0 is rejected at α = 0.100"
or "H0 is not rejected at α = 0.100".
Question
There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point
quizzes administered during the semester.
There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point quizzes administered during the semester.     Test for equality of means. Take α = 0.001. Answer H<sub>0</sub> is rejected at α = 0.001 or H<sub>0</sub> is not rejected at α = 0.001.<div style=padding-top: 35px> There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point quizzes administered during the semester.     Test for equality of means. Take α = 0.001. Answer H<sub>0</sub> is rejected at α = 0.001 or H<sub>0</sub> is not rejected at α = 0.001.<div style=padding-top: 35px> Test for equality of means. Take α = 0.001. Answer "H0 is rejected at α = 0.001"
or "H0 is not rejected at α = 0.001".
Question
Taking α\alpha = 0.05 and n - k = 18, determine the appropriate percentile of the t distribution when calculating the multiple-t confidence intervals with m = 3.
Question
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  <div style=padding-top: 35px> Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  <div style=padding-top: 35px> The ANOVA table for these data is shown below.
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  <div style=padding-top: 35px> Calculate a simultaneous 94% confidence interval for the difference in means .
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  <div style=padding-top: 35px>
Question
Consider the following data:
<strong>Consider the following data:   </strong> A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.    B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively. C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively. <div style=padding-top: 35px>

A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.
<strong>Consider the following data:   </strong> A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.    B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively. C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively. <div style=padding-top: 35px> B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively.
C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively.
Question
Consider the following data:
Consider the following data:   Fill in the corresponding ANOVA table.  <div style=padding-top: 35px> Fill in the corresponding ANOVA table.
Consider the following data:   Fill in the corresponding ANOVA table.  <div style=padding-top: 35px>
Question
Consider the following data:
Consider the following data:   Perform an analysis of variance for these data. Use α = 0.05. Answer The treatment effects are (are not) significant and The block effects are (are not) significant.<div style=padding-top: 35px> Perform an analysis of variance for these data. Use α = 0.05. Answer "The treatment effects are (are not) significant"
and "The block effects are (are not) significant".
Question
Consider the following ANOVA table with treatment means Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    <div style=padding-top: 35px> = 70.20, Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    <div style=padding-top: 35px> = 65.40, and Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    <div style=padding-top: 35px> = 79.60.
Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    <div style=padding-top: 35px> Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.
Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    <div style=padding-top: 35px>
Question
Consider the following data:
Consider the following data:   Find the residuals array.<div style=padding-top: 35px> Find the residuals array.
Question
16 Three processes for creating flame-retardant fabric are under con- sideration. Three dresses are made from Fabric A, two from Fabric B, and three from Fabric C. The response of interest is the verti- cal damage(inches) to the dress when a paper tab, attached to the bottom, is ignited.
16 Three processes for creating flame-retardant fabric are under con- sideration. Three dresses are made from Fabric A, two from Fabric B, and three from Fabric C. The response of interest is the verti- cal damage(inches) to the dress when a paper tab, attached to the bottom, is ignited.   (a) Obtain the arrays that show a decomposition for the observa- tions. (b) Create the ANOVA table. (c) Conduct a test for equality of the three means. Take α = .05.<div style=padding-top: 35px>
(a) Obtain the arrays that show a decomposition for the observa- tions.
(b) Create the ANOVA table.
(c) Conduct a test for equality of the three means. Take α = .05.
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Deck 14: Analysis of Variance Anova
1
Consider the following data:
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.

A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.
B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively.
C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f.
and Treatment d.f., respectively.
D) Summarize by completing the ANOVA table.
<strong>Consider the following data:   </strong> A) Obtain the arrays that show a decomposition for the observations. That is, complete the following arrays.   B) Find the sum of squares for each array. That is, find Treatment S.S, Residual S.S, Mean S.S, Total S.S, Total S.S (Corrected), respectively. C) Determine the degrees of freedom for each sum of squares. That is, determine Error d.f. and Treatment d.f., respectively. D) Summarize by completing the ANOVA table.
Part A:
Part A:   Part B: Treatment S.S = 12 Residual S.S = 8 Mean S.S = 288 Total S.S = 308 Total S.S (corrected) = 20 Part C: Error d.f. = 4 Treatment d.f. = 3 Part D:  Part B:
Treatment S.S = 12
Residual S.S = 8
Mean S.S = 288
Total S.S = 308
Total S.S (corrected) = 20
Part C:
Error d.f. = 4
Treatment d.f. = 3
Part D:
Part A:   Part B: Treatment S.S = 12 Residual S.S = 8 Mean S.S = 288 Total S.S = 308 Total S.S (corrected) = 20 Part C: Error d.f. = 4 Treatment d.f. = 3 Part D:
2
Use the relations for sums of squares and d.f. to complete the following ANOVA table.
Use the relations for sums of squares and d.f. to complete the following ANOVA table.
3
Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.

A) Provide a decomposition of the observations by completing the table.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.
B) Obtain the ANOVA table.
<strong>Perfect scores are not always attained in a test. Suppose the records from four different courses yield the following data on the number of perfect scores per test.   </strong> A) Provide a decomposition of the observations by completing the table.   B) Obtain the ANOVA table.
4
The following table is associated with the average number of patients served,
0ver 6 days, at different months of the year.
The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.  The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.  Present the ANOVA table for these data.
The following table is associated with the average number of patients served, 0ver 6 days, at different months of the year.     Present the ANOVA table for these data.
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5
Using the table of percentage points for the F distribution, find the upper 10% point when v1 = 8 and v2 = 120.

A) 1.72
B) 2.34
C) 2.02
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6
Consider the following ANOVA table.
Consider the following ANOVA table.   Carry out the F test for equality of means taking α = 0.010. Answer The null hypothesis is rejected at level α = 0.010 or The null hypothesis is not rejected at level α = 0.010. Carry out the F test for equality of means taking α = 0.010. Answer "The null hypothesis is rejected at level α = 0.010"
or "The null hypothesis is not rejected at level α = 0.010".
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7
Consider the following ANOVA table.
Consider the following ANOVA table.   Test for equality of means using α = 0.100. Answer H<sub>0</sub> is rejected at α = 0.100 or H<sub>0</sub> is not rejected at α = 0.100. Test for equality of means using α = 0.100. Answer "H0 is rejected at α = 0.100"
or "H0 is not rejected at α = 0.100".
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8
There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point
quizzes administered during the semester.
There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point quizzes administered during the semester.     Test for equality of means. Take α = 0.001. Answer H<sub>0</sub> is rejected at α = 0.001 or H<sub>0</sub> is not rejected at α = 0.001. There are four lecture sessions for a Statistics course but all students take common exams. The following table is associated with the average class score in six 40 point quizzes administered during the semester.     Test for equality of means. Take α = 0.001. Answer H<sub>0</sub> is rejected at α = 0.001 or H<sub>0</sub> is not rejected at α = 0.001. Test for equality of means. Take α = 0.001. Answer "H0 is rejected at α = 0.001"
or "H0 is not rejected at α = 0.001".
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9
Taking α\alpha = 0.05 and n - k = 18, determine the appropriate percentile of the t distribution when calculating the multiple-t confidence intervals with m = 3.
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10
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  The ANOVA table for these data is shown below.
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .  Calculate a simultaneous 94% confidence interval for the difference in means .
Four drug stores have a pharmacy which is open twenty-four hours a day. The following table is associated with the daily average number of patients served, outside of the normal hours 9 a.m. to 9 p.m. Data are collected each day of the week for one week.     The ANOVA table for these data is shown below.   Calculate a simultaneous 94% confidence interval for the difference in means .
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11
Consider the following data:
<strong>Consider the following data:   </strong> A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.    B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively. C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively.

A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.
<strong>Consider the following data:   </strong> A) Provide a decomposition for the observation from these randomized block experiment. That is, complete the following tables.    B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively. C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively. B) Find the sum of squares for each array. That is, find Treatment S.S, Block S.S, Residual S.S, Mean S.S, Total S.S, and Total S.S (corrected), respectively.
C) Determine the degrees of freedom by checking the constraints for each array. That is, find Treatment d.f., Block d.f., and Residual d.f, respectively.
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12
Consider the following data:
Consider the following data:   Fill in the corresponding ANOVA table.  Fill in the corresponding ANOVA table.
Consider the following data:   Fill in the corresponding ANOVA table.
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13
Consider the following data:
Consider the following data:   Perform an analysis of variance for these data. Use α = 0.05. Answer The treatment effects are (are not) significant and The block effects are (are not) significant. Perform an analysis of variance for these data. Use α = 0.05. Answer "The treatment effects are (are not) significant"
and "The block effects are (are not) significant".
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14
Consider the following ANOVA table with treatment means Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    = 70.20, Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    = 65.40, and Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    = 79.60.
Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.    Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.
Consider the following ANOVA table with treatment means   = 70.20,   = 65.40, and   = 79.60.   Obtain simultaneous confidence intervals for the pairwise differences in mean for the three treatments. Take α = 0.05.
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15
Consider the following data:
Consider the following data:   Find the residuals array. Find the residuals array.
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16
16 Three processes for creating flame-retardant fabric are under con- sideration. Three dresses are made from Fabric A, two from Fabric B, and three from Fabric C. The response of interest is the verti- cal damage(inches) to the dress when a paper tab, attached to the bottom, is ignited.
16 Three processes for creating flame-retardant fabric are under con- sideration. Three dresses are made from Fabric A, two from Fabric B, and three from Fabric C. The response of interest is the verti- cal damage(inches) to the dress when a paper tab, attached to the bottom, is ignited.   (a) Obtain the arrays that show a decomposition for the observa- tions. (b) Create the ANOVA table. (c) Conduct a test for equality of the three means. Take α = .05.
(a) Obtain the arrays that show a decomposition for the observa- tions.
(b) Create the ANOVA table.
(c) Conduct a test for equality of the three means. Take α = .05.
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