For the data in the source table, what is the effect size for this one-way within-groups ANOVA? \[\begin{array} { | l c | c | c | c | } \hline \text { Source } & S S & d f & M S & F \\ \hline \text { Between-groups } & 10.1 & 2 & 5.05 & 4.751 \\ \hline \text { Subjects } & 7.4 & 4 & 1.85 & 1.740 \\ \hline \text { Within-groups } & 8.5 & 8 & 1.063 & \\ \hline \text { Total } & 26 & 14 & & \\ \hline \end{array}\]

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

For the data in the source table, what is the F statistic of interest to researchers? \[\begin{array} { l | c | c c | c | } \hline \text { Source } & S S & d f & M S & F \\ \hline \text { Between-groups } & 39.52 & 2 & 19.76 & \\ \hline \text { Subjects } & 6.45 & 5 & 1.29 & \\ \hline \text { Within-groups } & 19.93 & 10 & 1.993 & \\ \hline \text { Total } & 53 & 17 & & \\ \hline \end{array}\]

A) 0.10 B) 0.65 C) 9.91 D) 15.32 A) 0.10 B) 0.65 C) 9.91 D) 15.32 C

For the data in the source table, what is the effect size for this one-way within-groups ANOVA? \[\begin{array} { l | c | c c | c | } \hline \text { Source } & S S & d f & M S & F \\ \hline \text { Between-groups } & 39.52 & 2 & 19.76 & \\ \hline \text { Subjects } & 6.45 & 5 & 1.29 & \\ \hline \text { Within-groups } & 19.93 & 10 & 1.993 & \\ \hline \text { Total } & 53 & 17 & & \\ \hline \end{array}\]

A) 0.837 B) 0.849 C) 1.178 D) 1.195 A) 0.837 B) 0.849 C) 1.178 D) 1.195

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

A) 0.249 B) 0.373 C) 0.664 D) 2.678 A) 0.249 B) 0.373 C) 0.664 D) 2.678

For the data in the source table, what is the effect size for this one-way within-groups ANOVA? \[\begin{array} { | l c | c | c | c | } \hline \text { Source } & S S & d f & M S & F \\ \hline \text { Between-groups } & 10.1 & 2 & 5.05 & 4.751 \\ \hline \text { Subjects } & 7.4 & 4 & 1.85 & 1.740 \\ \hline \text { Within-groups } & 8.5 & 8 & 1.063 & \\ \hline \text { Total } & 26 & 14 & & \\ \hline \end{array}\]

A) 0.47 B) 0.54 C) 0.58 D) 1.84 A) 0.47 B) 0.54 C) 0.58 D) 1.84

Exam 13: One-Way Within-Groups Anova

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

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Question 1

Correct Answer:

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D

A researcher examines the effectiveness of different body lotions by having 12 participants apply four different lotions to the same, unique body locations daily for two weeks.For example, lotion #1 is always applied to the right thigh, while lotion #2 is applied to the upper right arm.The participants were randomly selected at a drugstore in a busy area.What is the research hypothesis for this study?

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Question 2

Correct Answer:

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A

For the data in the source table, what is the F statistic of interest to researchers? Source SS df MS F Between-groups 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

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Question 3

Correct Answer:

Verified

C

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 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

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Question 4

All of the assumptions for the one-way within-groups ANOVA are the same as those for the one-way between-groups ANOVA.

(True/False)

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Question 5

Which statement accurately captures why within-groups designs are preferred over between-groups designs?

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Question 6

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 cats and birds, given the following means for preference: Dogs M = 4.43, Cats M = 4.18, Birds M = 2.73, Fish M = 4.07?

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Question 7

The effect size measure for the one-way within-groups ANOVA is R².

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Question 8

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 birds given the following means for preference: Dogs M = 4.43, Cats M = 4.18, Birds M = 2.73, Fish M = 4.07?

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Question 9

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

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Question 10

Which degrees of freedom value is unique to the one-way within-groups ANOVA?

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Question 11

The benefits of the within-groups design are seen in the calculation of the F statistic, in that the:

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Question 12

If using a within-groups design results in a larger F statistic, this also means:

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Question 13

When using matched groups for a one-way within-groups ANOVA, a researcher should "match" participants on:

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Question 14

The primary benefit of the within-groups design is that within-groups variability is reduced.

(True/False)

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Question 15

When it is not possible to have participants experience all levels of the independent variable, an alternative approach to a within-groups design can be used.This approach offers the same advantage in statistical power as the within-groups design by:

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Question 16

When using a one-way within-groups ANOVA, the variability due to individual differences is reduced resulting in a _ F statistic, making it _ to reject the null hypothesis.

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Question 17

There are some problems with a matched groups design, including that:

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Question 18

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

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Question 19

In addition to hypothesis testing, post hoc tests are required as a way to assess:

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Question 20

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

For the data in the source table, what is the F statistic of interest to researchers? Source SS df MS F Between-groups 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

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 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

All of the assumptions for the one-way within-groups ANOVA are the same as those for the one-way between-groups ANOVA.

Which statement accurately captures why within-groups designs are preferred over between-groups designs?

The effect size measure for the one-way within-groups ANOVA is R².

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

Which degrees of freedom value is unique to the one-way within-groups ANOVA?

The benefits of the within-groups design are seen in the calculation of the F statistic, in that the:

If using a within-groups design results in a larger F statistic, this also means:

When using matched groups for a one-way within-groups ANOVA, a researcher should "match" participants on:

The primary benefit of the within-groups design is that within-groups variability is reduced.

When it is not possible to have participants experience all levels of the independent variable, an alternative approach to a within-groups design can be used.This approach offers the same advantage in statistical power as the within-groups design by:

When using a one-way within-groups ANOVA, the variability due to individual differences is reduced resulting in a _ F statistic, making it _ to reject the null hypothesis.

There are some problems with a matched groups design, including that:

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

In addition to hypothesis testing, post hoc tests are required as a way to assess:

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

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

For the data in the source table, what is the F statistic of interest to researchers? Source SS df MS F Between-groups 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

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 39.52 2 19.76 Subjects 6.45 5 1.29 Within-groups 19.93 10 1.993 Total 53 17

All of the assumptions for the one-way within-groups ANOVA are the same as those for the one-way between-groups ANOVA.

Which statement accurately captures why within-groups designs are preferred over between-groups designs?

The effect size measure for the one-way within-groups ANOVA is R2.

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

Which degrees of freedom value is unique to the one-way within-groups ANOVA?

The benefits of the within-groups design are seen in the calculation of the F statistic, in that the:

If using a within-groups design results in a larger F statistic, this also means:

When using matched groups for a one-way within-groups ANOVA, a researcher should "match" participants on:

The primary benefit of the within-groups design is that within-groups variability is reduced.

When it is not possible to have participants experience all levels of the independent variable, an alternative approach to a within-groups design can be used.This approach offers the same advantage in statistical power as the within-groups design by:

When using a one-way within-groups ANOVA, the variability due to individual differences is reduced resulting in a _____ F statistic, making it _____ to reject the null hypothesis.

There are some problems with a matched groups design, including that:

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 10.1 2 5.05 4.751 Subjects 7.4 4 1.85 1.740 Within-groups 8.5 8 1.063 Total 26 14

In addition to hypothesis testing, post hoc tests are required as a way to assess:

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

The effect size measure for the one-way within-groups ANOVA is R².

When using a one-way within-groups ANOVA, the variability due to individual differences is reduced resulting in a _ F statistic, making it _ to reject the null hypothesis.