Deck 16: Introduction to the Two-Way Analysis of Variance

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Question
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.

A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
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Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the interaction equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 <div style=padding-top: 35px> F obt for the interaction equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
Question
A significant interaction effect occurs when _________.

A) there are no main effects
B) variable A has a main effect and variable B does not
C) the combined effects of variables A and B yield an unexpected effect
D) none of these
Question
A main effect for variable A means that _________.

A) the effect of variable A is the same over all levels of variable B
B) the effect of variable A is significant when averaged over all levels of variable B
C) the effect of variable A is not the same over all levels of variable B
D) variable A has a greater effect than variable B
Question
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?

A) the effect of Factor A is not the same at all levels of Factor B
B) The effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
Question
If the null hypothesis is correct, which of the following is (are) an estimate of s 2 ?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
E) all of these
Question
Which of the following are called "main effects" in a two-way analysis of variance?

A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) the effect of Factor A and B
Question
Which of the following increase(s) as the interaction effect increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
Question
The conclusion regarding the B variable is _________.

A) reject H 0 ; variable B has no effect
B) retain H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant main effect for variable B
D) accept H 0 ; chance is a reasonable explanation
Question
Which of the following increase(s) as the effect of the B variable increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>crit</sub> for the A variable equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 <div style=padding-top: 35px> F crit for the A variable equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
Question
The conclusion regarding the A variable is _________.

A) retain H 0 ; chance is a reasonable explanation
B) reject H 0 ; there is a significant main effect for variable A
C) accept H 0 ; variable A has no real effect
D) reject H 0 ; chance is a reasonable explanation
Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F crit for the interaction equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 <div style=padding-top: 35px> F crit for the interaction equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>crit</sub> for the B variable equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 <div style=padding-top: 35px> F crit for the B variable equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
Question
Which of the following increase(s) as the effect of the A variable increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the A variable equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 <div style=padding-top: 35px> F obt for the A variable equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
Question
The two-way analysis of variance _________.

A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
Question
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the B variable equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 <div style=padding-top: 35px> F obt for the B variable equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
Question
If there are no main effects, then _________.

A) MScolumns / MSwithin-cells is less than F crit
B) MSrows / MSwithin-cells is less than F crit
C) MSinteraction / MSwithin-cells is less than Fcrit
D) MScolumns / MSwithin-cells is less than F crit and MSrows / MSwithin-cells is less than F crit
Question
If the A variable has a real effect, _________.

A) MScolumns / MSwithin-cells must equal or exceed F crit
B) MSrows / MSwithin-cells must equal or exceed F crit
C) it is possible that MScolumns / MSwithin-cells is less than F crit
D) it is possible that MSrows / MSwithin-cells is less than F crit
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the main effect of variable A is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude variable A has main effect. B) Accept H<sub>0</sub> . We cannot conclude variable A has main effect. C) Reject H<sub>0</sub> . Variable A has a significant main effect. D) Reject H<sub>0</sub> . Variable A has no effect. <div style=padding-top: 35px> The conclusion regarding the main effect of variable A is _________.

A) Retain H0 . We cannot conclude variable A has main effect.
B) Accept H0 . We cannot conclude variable A has main effect.
C) Reject H0 . Variable A has a significant main effect.
D) Reject H0 . Variable A has no effect.
Question
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there is a significant main effect for factor A , no other significant effects B) there is a significant main effect for factor B , no other significant effects C) there is a significant interaction effect, no other significant effects D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects <div style=padding-top: 35px>

A) there is a significant main effect for factor A , no other significant effects
B) there is a significant main effect for factor B , no other significant effects
C) there is a significant interaction effect, no other significant effects
D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects
E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects
Question
The two-way analysis of variance _________.

A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the row column effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 <div style=padding-top: 35px> The value of F obt for evaluating the row column effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
Question
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects <div style=padding-top: 35px>

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the column effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 <div style=padding-top: 35px> The value of F crit for evaluating the column effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the main effect of variable B is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude variable B has main effect. B) Accept H<sub>0</sub> . We cannot conclude variable B has main effect. C) Reject H<sub>0</sub> . Variable B has a significant main effect. D) Reject H<sub>0</sub> . Variable B has no effect. <div style=padding-top: 35px> The conclusion regarding the main effect of variable B is _________.

A) Retain H0 . We cannot conclude variable B has main effect.
B) Accept H0 . We cannot conclude variable B has main effect.
C) Reject H0 . Variable B has a significant main effect.
D) Reject H0 . Variable B has no effect.
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the interaction effect of variables A and B is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude there is a significant interaction B) Accept H<sub>0</sub> . There is no interaction effect between A and B C) Reject H<sub>0</sub> . There is a significant interaction effect. D) Reject H<sub>0</sub> . There is no interaction effect between A and B <div style=padding-top: 35px> The conclusion regarding the interaction effect of variables A and B is _________.

A) Retain H0 . We cannot conclude there is a significant interaction
B) Accept H0 . There is no interaction effect between A and B
C) Reject H0 . There is a significant interaction effect.
D) Reject H0 . There is no interaction effect between A and B
Question
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects <div style=padding-top: 35px>

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
Question
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.

A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
Question
Which of the following are called "main effects" in a two-way analysis of variance?

A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) all of these
E) the effect of Factor A and B
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the row effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 <div style=padding-top: 35px> The value of F crit for evaluating the row effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the row column effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 <div style=padding-top: 35px> The value of F crit for evaluating the row column effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
Question
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects <div style=padding-top: 35px>

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
Question
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects <div style=padding-top: 35px>

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the column effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 <div style=padding-top: 35px> The value of F obt for evaluating the column effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
Question
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?

A) the effect of Factor A is not the same at all levels of Factor B
B) the effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
E) need more information
Question
How many variance estimates are there in a 2 x 2 factorial design?

A) 1
B) 2
C) 3
D) 4
Question
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the row effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 <div style=padding-top: 35px> The value of F obt for evaluating the row effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
Question
The conclusion regarding the interaction is _________.

A) retain H 0 ; chance is a reasonable explanation
B) accept H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant interaction between variables A and B
D) reject H 0 ; there is no interaction between variables A and B
Question
ΣSw for one-way ANOVA and ΣSwithin-cells for two-way ANOVA are conceptually similar.
Question
ΣSB for one-way ANOVA is conceptually similar to ΣSrows and ΣScolumns for two-way ANOVA.
Question
In two-way ANOVA, ΣStotal is partitioned into ΣSrows , ΣSwithin-cells , ΣScolumns and ΣSinteraction .
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for df <sub>within-cells</sub> ?</strong> A) 2 B) 1 C) 34 D) 24 <div style=padding-top: 35px> What is the value for df within-cells ?

A) 2
B) 1
C) 34
D) 24
Question
Differences among cell means are used to assess the interaction effect.
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for MS<sub>within-cells</sub> ?</strong> A) 260.4 B) 130.2 C) 10.85 D) 8.98 <div style=padding-top: 35px> What is the value for MSwithin-cells ?

A) 260.4
B) 130.2
C) 10.85
D) 8.98
Question
The row variance estimate does not change as the effect of independent variable A increases.
Question
A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.
Question
Differences among row means are used to assess the interaction effect.
Question
The within-cells variance estimate measures treatment effects.
Question
Differences among column means are used to assess the main effect of one of the variables
Question
Consider the following graphic results from a 2 x 2 factorial experiment. <strong>Consider the following graphic results from a 2 x 2 factorial experiment.   Do you think there is a significant A x B interaction?</strong> A) Yes B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment. C) No, the lines should be parallel for a significant interaction D) none of these <div style=padding-top: 35px> Do you think there is a significant A x B interaction?

A) Yes
B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment.
C) No, the lines should be parallel for a significant interaction
D) none of these
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for MS<sub>rows</sub> ?</strong> A) 225.25 B) 450.5 C) 225.50 D) 9.39 <div style=padding-top: 35px> What is the value for MSrows ?

A) 225.25
B) 450.5
C) 225.50
D) 9.39
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value of F <sub>obt</sub> for Rows?</strong> A) 20.76 B) 195.87 C) 1.94 D) 22.53 <div style=padding-top: 35px> What is the value of F obt for Rows?

A) 20.76
B) 195.87
C) 1.94
D) 22.53
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for ΣS<sub>within-cells</sub> ?</strong> A) 160.4 B) 260.4 C) 250.4 D) 150.4 <div style=padding-top: 35px> What is the value for ΣSwithin-cells ?

A) 160.4
B) 260.4
C) 250.4
D) 150.4
Question
In the one-way ANOVA, the within-groups variance estimate is like _________ in two-way ANOVA.

A) the row variance estimate
B) the within-cells variance estimate
C) the column variance estimate
D) the interaction variance estimate
Question
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value of F <sub>obt</sub> for Columns?</strong> A) 11.64 B) 10.73 C) 4.85 D) 4.01 <div style=padding-top: 35px> What is the value of F obt for Columns?

A) 11.64
B) 10.73
C) 4.85
D) 4.01
Question
Which of the following are not true statements?

A) The main effect of factor A is the effect of factor A averaged over the levels of factor B .
B) The main effect of factor B is the effect of factor B averaged over the levels of factor A .
C) An interaction effect occurs when the effect of one factor is the same for all levels of the other factor.
D) All of these statements are false.
Question
The column variance estimate increases as the effect of independent variable B increases.
Question
ΣS total = ΣSrows + ΣScolumns + ΣSwithin-cells.
Question
MSwithin-cells is sensitive to the effects of variable A or B .
Question
It is not possible to have an interaction effect unless one of the variables also has a main effect.
Question
A factorial experiment is one in which the effect of two or more factors is assessed in one experiment.
Question
In a two-way ANOVA, we do three F tests.
Question
In general, the alternative hypothesis for two-way ANOVA can be directional.
Question
It is not possible to have a significant interaction effect unless one of the variables also has a significant main effect.
Question
A two factor experiment yields no more information than two single factor experiments.
Question
MStotal = MSrows + MScolumns + MSinteraction + MSwithin-cells .
Question
The sum of df rows , df columns , df interaction , and df within-cells is N - 1.
Question
A main effect refers to the average effect of the variable.
Question
If there is an interaction between the variables of "activity level" and "time of day," this means that activity level does not have the same effect at different times of day.
Question
Two-way ANOVA is like two one-way ANOVA experiments, plus it gives us the ability to analyze the interaction of the two variables.
Question
A "mean square" is the same thing as a "variance estimate".
Question
A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.
Question
MSrows is sensitive to the effects of variable A .
Question
The homogeneity of variance assumption assumes the population scores from which each of the samples are drawn are normally distributed.
Question
In a two-way ANOVA, it is possible to have significant main effects without a significant interaction.
Question
In a two-way ANOVA, there are three possible main effects and one interaction.
Question
ΣStotal = ΣSrows + ΣScolumns + ΣSinteraction + ΣSwithin-cells .
Question
MScolumns is a measure of only s 2 , regardless of whether the variables have a main effect.
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Deck 16: Introduction to the Two-Way Analysis of Variance
1
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.

A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
the main effects of the independent variables
2
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the interaction equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 F obt for the interaction equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
2.66
3
A significant interaction effect occurs when _________.

A) there are no main effects
B) variable A has a main effect and variable B does not
C) the combined effects of variables A and B yield an unexpected effect
D) none of these
the combined effects of variables A and B yield an unexpected effect
4
A main effect for variable A means that _________.

A) the effect of variable A is the same over all levels of variable B
B) the effect of variable A is significant when averaged over all levels of variable B
C) the effect of variable A is not the same over all levels of variable B
D) variable A has a greater effect than variable B
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5
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?

A) the effect of Factor A is not the same at all levels of Factor B
B) The effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
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6
If the null hypothesis is correct, which of the following is (are) an estimate of s 2 ?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
E) all of these
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7
Which of the following are called "main effects" in a two-way analysis of variance?

A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) the effect of Factor A and B
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8
Which of the following increase(s) as the interaction effect increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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9
The conclusion regarding the B variable is _________.

A) reject H 0 ; variable B has no effect
B) retain H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant main effect for variable B
D) accept H 0 ; chance is a reasonable explanation
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10
Which of the following increase(s) as the effect of the B variable increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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11
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>crit</sub> for the A variable equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 F crit for the A variable equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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12
The conclusion regarding the A variable is _________.

A) retain H 0 ; chance is a reasonable explanation
B) reject H 0 ; there is a significant main effect for variable A
C) accept H 0 ; variable A has no real effect
D) reject H 0 ; chance is a reasonable explanation
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13
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F crit for the interaction equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 F crit for the interaction equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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14
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>crit</sub> for the B variable equals _________.</strong> A) 3.40 B) 7.82 C) 5.81 D) 4.26 F crit for the B variable equals _________.

A) 3.40
B) 7.82
C) 5.81
D) 4.26
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15
Which of the following increase(s) as the effect of the A variable increases?

A) MS rows
B) MS columns
C) MS within-cells
D) MS interaction
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16
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the A variable equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 F obt for the A variable equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
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17
The two-way analysis of variance _________.

A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
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18
An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data. <strong>An investigator collects the following data on variables A and B , using a two-way independent groups design. Use a = 0.05 in analyzing the data.   F <sub>obt</sub> for the B variable equals _________.</strong> A) 2.66 B) 16.34 C) 29.11 D) 11.23 F obt for the B variable equals _________.

A) 2.66
B) 16.34
C) 29.11
D) 11.23
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19
If there are no main effects, then _________.

A) MScolumns / MSwithin-cells is less than F crit
B) MSrows / MSwithin-cells is less than F crit
C) MSinteraction / MSwithin-cells is less than Fcrit
D) MScolumns / MSwithin-cells is less than F crit and MSrows / MSwithin-cells is less than F crit
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20
If the A variable has a real effect, _________.

A) MScolumns / MSwithin-cells must equal or exceed F crit
B) MSrows / MSwithin-cells must equal or exceed F crit
C) it is possible that MScolumns / MSwithin-cells is less than F crit
D) it is possible that MSrows / MSwithin-cells is less than F crit
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21
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the main effect of variable A is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude variable A has main effect. B) Accept H<sub>0</sub> . We cannot conclude variable A has main effect. C) Reject H<sub>0</sub> . Variable A has a significant main effect. D) Reject H<sub>0</sub> . Variable A has no effect. The conclusion regarding the main effect of variable A is _________.

A) Retain H0 . We cannot conclude variable A has main effect.
B) Accept H0 . We cannot conclude variable A has main effect.
C) Reject H0 . Variable A has a significant main effect.
D) Reject H0 . Variable A has no effect.
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22
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there is a significant main effect for factor A , no other significant effects B) there is a significant main effect for factor B , no other significant effects C) there is a significant interaction effect, no other significant effects D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects

A) there is a significant main effect for factor A , no other significant effects
B) there is a significant main effect for factor B , no other significant effects
C) there is a significant interaction effect, no other significant effects
D) there is a significant main effect for factor A , a significant interaction effect, and no other significant effects
E) there is a significant main effect for factor B , a significant interaction effect, and no other significant effects
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23
The two-way analysis of variance _________.

A) assesses the effects of two independent variables in one experiment
B) allows an assessment of the interaction between two independent variables
C) results in calculation of three F ratio's
D) all of these
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24
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the row column effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 The value of F obt for evaluating the row column effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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25
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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26
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the column effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 The value of F crit for evaluating the column effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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27
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the main effect of variable B is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude variable B has main effect. B) Accept H<sub>0</sub> . We cannot conclude variable B has main effect. C) Reject H<sub>0</sub> . Variable B has a significant main effect. D) Reject H<sub>0</sub> . Variable B has no effect. The conclusion regarding the main effect of variable B is _________.

A) Retain H0 . We cannot conclude variable B has main effect.
B) Accept H0 . We cannot conclude variable B has main effect.
C) Reject H0 . Variable B has a significant main effect.
D) Reject H0 . Variable B has no effect.
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28
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The conclusion regarding the interaction effect of variables A and B is _________.</strong> A) Retain H<sub>0</sub> . We cannot conclude there is a significant interaction B) Accept H<sub>0</sub> . There is no interaction effect between A and B C) Reject H<sub>0</sub> . There is a significant interaction effect. D) Reject H<sub>0</sub> . There is no interaction effect between A and B The conclusion regarding the interaction effect of variables A and B is _________.

A) Retain H0 . We cannot conclude there is a significant interaction
B) Accept H0 . There is no interaction effect between A and B
C) Reject H0 . There is a significant interaction effect.
D) Reject H0 . There is no interaction effect between A and B
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29
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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30
The row variance estimate MSrows and the column variance estimate MScolumns are used to measure _________.

A) the main effects of the independent variables
B) the interaction effects of the independent variables
C) the main effects of the independent variables and the interaction effects of the independent variables
D) none of these
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31
Which of the following are called "main effects" in a two-way analysis of variance?

A) the effect of Factor A
B) the effect of Factor B
C) the interaction of Factors A and B
D) all of these
E) the effect of Factor A and B
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32
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the row effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 The value of F crit for evaluating the row effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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33
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>crit</sub> for evaluating the row column effect is _________.</strong> A) 3.40 B) 7.82 C) 4.26 D) 5.61 The value of F crit for evaluating the row column effect is _________.

A) 3.40
B) 7.82
C) 4.26
D) 5.61
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34
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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35
Consider the following graphic results from a 2 2 factorial experiment. These results show _________. <strong>Consider the following graphic results from a 2 2 factorial experiment. These results show _________.  </strong> A) there are no significant main effects or interaction effects B) there is a significant main effect for factor A , no other significant effects C) there is a significant main effect for factor B , no other significant effects D) there is a significant interaction effect, no other significant effects

A) there are no significant main effects or interaction effects
B) there is a significant main effect for factor A , no other significant effects
C) there is a significant main effect for factor B , no other significant effects
D) there is a significant interaction effect, no other significant effects
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36
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the column effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 The value of F obt for evaluating the column effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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37
In a two-way ANOVA, if there is a significant interaction between Factor A and Factor B , which of the following may be true?

A) the effect of Factor A is not the same at all levels of Factor B
B) the effect of Factor B is not the same at all levels of Factor A
C) the effects of the two Factors do not differ across levels
D) the effect of Factor A is not the same at all levels of Factor B and/or The effect of Factor B is not the same at all levels of Factor A
E) need more information
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38
How many variance estimates are there in a 2 x 2 factorial design?

A) 1
B) 2
C) 3
D) 4
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39
Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05. <strong>Given the following data, collected from an independent groups design. When analyzing the data, assume that a = 0.05.   The value of F <sub>obt</sub> for evaluating the row effect is _________.</strong> A) 0.66 B) 6.23 C) 0.29 D) 5.28 The value of F obt for evaluating the row effect is _________.

A) 0.66
B) 6.23
C) 0.29
D) 5.28
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40
The conclusion regarding the interaction is _________.

A) retain H 0 ; chance is a reasonable explanation
B) accept H 0 ; chance is a reasonable explanation
C) reject H 0 ; there is a significant interaction between variables A and B
D) reject H 0 ; there is no interaction between variables A and B
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41
ΣSw for one-way ANOVA and ΣSwithin-cells for two-way ANOVA are conceptually similar.
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42
ΣSB for one-way ANOVA is conceptually similar to ΣSrows and ΣScolumns for two-way ANOVA.
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43
In two-way ANOVA, ΣStotal is partitioned into ΣSrows , ΣSwithin-cells , ΣScolumns and ΣSinteraction .
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44
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for df <sub>within-cells</sub> ?</strong> A) 2 B) 1 C) 34 D) 24 What is the value for df within-cells ?

A) 2
B) 1
C) 34
D) 24
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45
Differences among cell means are used to assess the interaction effect.
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46
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for MS<sub>within-cells</sub> ?</strong> A) 260.4 B) 130.2 C) 10.85 D) 8.98 What is the value for MSwithin-cells ?

A) 260.4
B) 130.2
C) 10.85
D) 8.98
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47
The row variance estimate does not change as the effect of independent variable A increases.
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48
A significant interaction effect occurs when the effects of one of the variables is not the same at all levels of the other variable.
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49
Differences among row means are used to assess the interaction effect.
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50
The within-cells variance estimate measures treatment effects.
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51
Differences among column means are used to assess the main effect of one of the variables
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52
Consider the following graphic results from a 2 x 2 factorial experiment. <strong>Consider the following graphic results from a 2 x 2 factorial experiment.   Do you think there is a significant A x B interaction?</strong> A) Yes B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment. C) No, the lines should be parallel for a significant interaction D) none of these Do you think there is a significant A x B interaction?

A) Yes
B) No, it is not possible to have a significant interaction in a 2 x 2 factorial experiment.
C) No, the lines should be parallel for a significant interaction
D) none of these
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53
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for MS<sub>rows</sub> ?</strong> A) 225.25 B) 450.5 C) 225.50 D) 9.39 What is the value for MSrows ?

A) 225.25
B) 450.5
C) 225.50
D) 9.39
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54
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value of F <sub>obt</sub> for Rows?</strong> A) 20.76 B) 195.87 C) 1.94 D) 22.53 What is the value of F obt for Rows?

A) 20.76
B) 195.87
C) 1.94
D) 22.53
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55
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value for ΣS<sub>within-cells</sub> ?</strong> A) 160.4 B) 260.4 C) 250.4 D) 150.4 What is the value for ΣSwithin-cells ?

A) 160.4
B) 260.4
C) 250.4
D) 150.4
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56
In the one-way ANOVA, the within-groups variance estimate is like _________ in two-way ANOVA.

A) the row variance estimate
B) the within-cells variance estimate
C) the column variance estimate
D) the interaction variance estimate
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57
To answer this question, refer to the following two-way ANOVA summary table <strong>To answer this question, refer to the following two-way ANOVA summary table   What is the value of F <sub>obt</sub> for Columns?</strong> A) 11.64 B) 10.73 C) 4.85 D) 4.01 What is the value of F obt for Columns?

A) 11.64
B) 10.73
C) 4.85
D) 4.01
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58
Which of the following are not true statements?

A) The main effect of factor A is the effect of factor A averaged over the levels of factor B .
B) The main effect of factor B is the effect of factor B averaged over the levels of factor A .
C) An interaction effect occurs when the effect of one factor is the same for all levels of the other factor.
D) All of these statements are false.
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59
The column variance estimate increases as the effect of independent variable B increases.
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60
ΣS total = ΣSrows + ΣScolumns + ΣSwithin-cells.
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61
MSwithin-cells is sensitive to the effects of variable A or B .
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62
It is not possible to have an interaction effect unless one of the variables also has a main effect.
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63
A factorial experiment is one in which the effect of two or more factors is assessed in one experiment.
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64
In a two-way ANOVA, we do three F tests.
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65
In general, the alternative hypothesis for two-way ANOVA can be directional.
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66
It is not possible to have a significant interaction effect unless one of the variables also has a significant main effect.
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67
A two factor experiment yields no more information than two single factor experiments.
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68
MStotal = MSrows + MScolumns + MSinteraction + MSwithin-cells .
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69
The sum of df rows , df columns , df interaction , and df within-cells is N - 1.
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70
A main effect refers to the average effect of the variable.
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71
If there is an interaction between the variables of "activity level" and "time of day," this means that activity level does not have the same effect at different times of day.
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72
Two-way ANOVA is like two one-way ANOVA experiments, plus it gives us the ability to analyze the interaction of the two variables.
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73
A "mean square" is the same thing as a "variance estimate".
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74
A 2 * 4 factorial experiment has 2 levels of one variable and 4 levels of the other variable.
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75
MSrows is sensitive to the effects of variable A .
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76
The homogeneity of variance assumption assumes the population scores from which each of the samples are drawn are normally distributed.
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77
In a two-way ANOVA, it is possible to have significant main effects without a significant interaction.
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78
In a two-way ANOVA, there are three possible main effects and one interaction.
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79
ΣStotal = ΣSrows + ΣScolumns + ΣSinteraction + ΣSwithin-cells .
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80
MScolumns is a measure of only s 2 , regardless of whether the variables have a main effect.
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