Question 1

The subjects sum of squares calculated in the one-way within-groups ANOVA assesses:

Accepted Answer

A)  how much participant data vary as a function of the independent variable. 
B)  the variability due to participant differences. 
C)  the inconsistency of subjects' responses. 
D)  variability for the entire study, across all conditions. 
A)  how much participant data vary as a function of the independent variable. 
B)  the variability due to participant differences. 
C)  the inconsistency of subjects' responses. 
D)  variability for the entire study, across all conditions.

Question 2

The National Collegiate Athletic Association (NCAA) cares about success for athletes both in their sports and in their education.A researcher hired by the NCAA wants to know how athletes' academic performance is affected by the stage of their competitive season.She examines performance in the preseason, throughout the active competitive season, and postseason, having 150 athletes, from across several different sports, assessed during each period.What statistical analysis would be appropriate for this research?

Accepted Answer

A)  one-way between-groups ANOVA 
B)  paired-samples t tests 
C)  one-way within-groups ANOVA 
D)  independent-samples t tests 
A)  one-way between-groups ANOVA 
B)  paired-samples t tests 
C)  one-way within-groups ANOVA 
D)  independent-samples t tests

Question 3

Pet preference was compared for four different types of animals (dogs, cats, birds, and fish), using a one-way within-groups ANOVA with nine participants.The standard error was calculated as 0.19.What is the Tukey HSD value when comparing data for dogs and cats given the following means for preference: Dogs M = 4.43, Cats M = 4.18, Birds M = 2.73, Fish M = 4.07?

Accepted Answer

A)  0.198 
B)  0.760 
C)  1.190 
D)  1.316 
A)  0.198 
B)  0.760 
C)  1.190 
D)  1.316

Question 4

For the data in the source table, what is the effect size for this one-way within-groups ANOVA? $$\begin{array} { | l | c | c c | c | } 
\hline \text { Source } & \text { SS } & d f & M S & F \
\hline \text { Between-groups } & 12.159 & 3 & 4.053 & 2.98 \
\hline \text { Subjects } & 6.77 & 5 & 1.354 & 0.996 \
\hline \text { Within-groups } & 20.4 & 15 & 1.360 & \
\hline \text { Total } & 39.329 & 23 & & \
\hline
\end{array}$$

Accepted Answer

A)  small 
B)  medium 
C)  large 
D)  very large 
A)  small 
B)  medium 
C)  large 
D)  very large

Question 5

Effect sizes help us determine whether the differences observed are large enough to matter in a within-groups ANOVA.

Accepted Answer

A) True 
 B)False

Question 6

Dr.Sanders was interested in investigating the effects of stress on memory.He exposed participants to public speaking stress and room temperature stress and gave them a memory measure immediately after exposure to the two stressors.Dr.Sanders also gave participants the memory measure at baseline, when they first entered the research laboratory.Dr.Sanders hypothesized that participants' memories would be most affected by the two stressors compared to the baseline condition.What statistical test should Dr.Sanders use to test her hypothesis?

Accepted Answer

A)  between-groups ANOVA 
B)  independent samples t test 
C)  within-groups ANOVA 
D)  dependent samples t test 
A)  between-groups ANOVA 
B)  independent samples t test 
C)  within-groups ANOVA 
D)  dependent samples t test

Question 7

When conducting the one-way within-groups ANOVA, two F statistics are calculated, but only the between-groups F statistic is of interest.

Accepted Answer

A) True 
 B)False

Question 8

All within-groups designs require that the same people experience each level of the independent variable.

Accepted Answer

A) True 
 B)False

Question 9

A one-way within-groups ANOVA on 3 and 18 degrees of freedom results in an F statistic of 3.12.What decision should be made about the hypothesis based on this statistic?

Accepted Answer

A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect. 
A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect.

Question 10

Effect sizes help us determine which means are statistically significantly different from each other in a within-groups ANOVA.

Accepted Answer

A) True 
 B)False

Question 11

Order effects likely have been addressed if counterbalancing has occurred in the research.

Accepted Answer

A) True 
 B)False

Question 12

Compared to a one-way between-groups ANOVA, the effect size calculation for the one-way ANOVA differs in:

Accepted Answer

A)  Cohen's guidelines for interpreting the effect size values. 
B)  that variability due to subjects is removed from total variability in the denominator. 
C)  its ease of computation. 
D)  the content of the numerator. 
A)  Cohen's guidelines for interpreting the effect size values. 
B)  that variability due to subjects is removed from total variability in the denominator. 
C)  its ease of computation. 
D)  the content of the numerator.

Question 13

The one-way within-groups ANOVA is the multiple-group equivalent of an independent-samples t test.

Accepted Answer

A) True 
 B)False

Question 14

Because the same participants are used in each condition, post hoc tests are not necessary when conducting a within-groups ANOVA.

Accepted Answer

A) True 
 B)False

Question 15

Which formula for calculating the subjects sum of squares for a within-groups ANOVA is correct?

Accepted Answer

A)  $ \Sigma$(Mparticipant - GM)2 
B) $ \Sigma$(Mparticipant - X)2 
C)  $ \Sigma$(M)(n - 1) 
D)  $ \Sigma$ (Mparticipant - GM) 
A)  $ \Sigma$(Mparticipant - GM)2 
B) $ \Sigma$(Mparticipant - X)2 
C)  $ \Sigma$(M)(n - 1) 
D)  $ \Sigma$ (Mparticipant - GM)

Question 16

To calculate the total sum of square for the one-way within-groups ANOVA, each score's deviation from the _____ is squared and summed.

Accepted Answer

A)  mean 
B)  grand mean 
C)  cell mean 
D)  group mean 
A)  mean 
B)  grand mean 
C)  cell mean 
D)  group mean

Question 17

A one-way within-groups ANOVA on 2 and 22 degrees of freedom results in an F statistic of 3.64.What decision should be made about the hypothesis based on this statistic?

Accepted Answer

A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect. 
A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect.

Question 18

The one-way within-groups ANOVA is the multiple-group equivalent of a paired-samples t test.

Accepted Answer

A) True 
 B)False

Question 19

Buying jeans can be a challenge for women.A local shop owner wants to be selective in what brands of jeans she carries in her store.She gets six of her closest friends to try five different pairs of jeans, with the requirement that they wear each pair for two whole days, without washing, and they rate the jeans at the end of the second day.What research design should she use to analyze her data?

Accepted Answer

A)  one-way between-groups ANOVA 
B)  independent-samples t tests 
C)  one-way within-groups ANOVA 
D)  paired-samples t tests 
A)  one-way between-groups ANOVA 
B)  independent-samples t tests 
C)  one-way within-groups ANOVA 
D)  paired-samples t tests

Question 20

For the data in the source table, what decision can be made about the hypotheses being tested? $$\begin{array} { | l c | c c | c | } 
\hline \text { Source } & \text { SS } & d f & M S & F \
\hline \text { Between-groups } & 12.159 & 3 & 4.053 & \
\hline \text { Subjects } & 6.77 & 5 & 1.354 & \
\hline \text { Within-groups } & 20.4 & 15 & 1.360 & \
\hline \text { Total } & 39.329 & 23 & & \
\hline
\end{array}$$

Accepted Answer

A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect. 
A)  Fail to reject the null hypothesis because the F statistic does not exceed the critical cutoff. 
B)  Fail to reject the null hypothesis and conclude there is no effect of the independent variable. 
C)  Reject the null hypothesis and conclude there are differences among the levels of the independent variable. 
D)  Reject the null hypothesis and conclude the independent variable has no effect.

The subjects sum of squares calculated in the one-way within-groups ANOVA assesses:

For the data in the source table, what is the effect size for this one-way within-groups ANOVA? Source SS df MS F Between-groups 12.159 3 4.053 2.98 Subjects 6.77 5 1.354 0.996 Within-groups 20.4 15 1.360 Total 39.329 23

Effect sizes help us determine whether the differences observed are large enough to matter in a within-groups ANOVA.

When conducting the one-way within-groups ANOVA, two F statistics are calculated, but only the between-groups F statistic is of interest.

All within-groups designs require that the same people experience each level of the independent variable.

A one-way within-groups ANOVA on 3 and 18 degrees of freedom results in an F statistic of 3.12.What decision should be made about the hypothesis based on this statistic?

Effect sizes help us determine which means are statistically significantly different from each other in a within-groups ANOVA.

Order effects likely have been addressed if counterbalancing has occurred in the research.

Compared to a one-way between-groups ANOVA, the effect size calculation for the one-way ANOVA differs in:

The one-way within-groups ANOVA is the multiple-group equivalent of an independent-samples t test.

Because the same participants are used in each condition, post hoc tests are not necessary when conducting a within-groups ANOVA.

Which formula for calculating the subjects sum of squares for a within-groups ANOVA is correct?

To calculate the total sum of square for the one-way within-groups ANOVA, each score's deviation from the _____ is squared and summed.

A one-way within-groups ANOVA on 2 and 22 degrees of freedom results in an F statistic of 3.64.What decision should be made about the hypothesis based on this statistic?

The one-way within-groups ANOVA is the multiple-group equivalent of a paired-samples t test.

For the data in the source table, what decision can be made about the hypotheses being tested? Source SS df MS F Between-groups 12.159 3 4.053 Subjects 6.77 5 1.354 Within-groups 20.4 15 1.360 Total 39.329 23

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 13: One-Way Within-Groups Anova

The subjects sum of squares calculated in the one-way within-groups ANOVA assesses:

For the data in the source table, what is the effect size for this one-way within-groups ANOVA? Source SS df MS F Between-groups 12.159 3 4.053 2.98 Subjects 6.77 5 1.354 0.996 Within-groups 20.4 15 1.360 Total 39.329 23

Effect sizes help us determine whether the differences observed are large enough to matter in a within-groups ANOVA.

When conducting the one-way within-groups ANOVA, two F statistics are calculated, but only the between-groups F statistic is of interest.

All within-groups designs require that the same people experience each level of the independent variable.

A one-way within-groups ANOVA on 3 and 18 degrees of freedom results in an F statistic of 3.12.What decision should be made about the hypothesis based on this statistic?

Effect sizes help us determine which means are statistically significantly different from each other in a within-groups ANOVA.

Order effects likely have been addressed if counterbalancing has occurred in the research.

Compared to a one-way between-groups ANOVA, the effect size calculation for the one-way ANOVA differs in:

The one-way within-groups ANOVA is the multiple-group equivalent of an independent-samples t test.

Because the same participants are used in each condition, post hoc tests are not necessary when conducting a within-groups ANOVA.

Which formula for calculating the subjects sum of squares for a within-groups ANOVA is correct?

To calculate the total sum of square for the one-way within-groups ANOVA, each score's deviation from the _____ is squared and summed.

A one-way within-groups ANOVA on 2 and 22 degrees of freedom results in an F statistic of 3.64.What decision should be made about the hypothesis based on this statistic?

The one-way within-groups ANOVA is the multiple-group equivalent of a paired-samples t test.

For the data in the source table, what decision can be made about the hypotheses being tested? Source SS df MS F Between-groups 12.159 3 4.053 Subjects 6.77 5 1.354 Within-groups 20.4 15 1.360 Total 39.329 23

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters