Use the data below for the following problem. \(\begin{array}{lcc} \hline \text { Source } & S S & d f& MS &F \\ \hline \text { SSeffect } & 244.5 & 2 \\ \text { SSerror } & 1436.7 & 23\\ \hline \end{array}\) What is the eta-squared?

A) .16 B) .15 C) .17 D) .09 A) .16 B) .15 C) .17 D) .09

\(\begin{array}{lcc} \hline \text { Source } & S S & d f& MS &F \\ \hline \text { Factor 1 } & 44325 & 3 \\ \text { Factor } 2 & 32241 & 2 \\ \text { Factor }{ }^{*} \text { Factor 2 } & 9382 & 6 \\ \text { Error } & 76257 & 24\\ \hline \end{array}\) How is this ANOVA best characterized and how many partial eta-squared are there for this factorial ANOVA?

A) 3 x 2 ANOVA with 3 partial eta-squared B) 3 x 2 ANOVA with 2 partial eta-squared C) 4 x 3 ANOVA with 3 partial eta-squared. D) 2 x 2 ANOVA with 3 partial eta-squared A) 3 x 2 ANOVA with 3 partial eta-squared B) 3 x 2 ANOVA with 2 partial eta-squared C) 4 x 3 ANOVA with 3 partial eta-squared. D) 2 x 2 ANOVA with 3 partial eta-squared

\(\begin{array}{lcc} \hline \text { Source } & S S & d f& MS &F \\ \hline \text { Factor 1 } & 44325 & 3 \\ \text { Factor } 2 & 32241 & 2 \\ \text { Factor }{ }^{*} \text { Factor 2 } & 9382 & 6 \\ \text { Error } & 76257 & 24\\ \hline \end{array}\) What is the partial eta-squared for factor 1?

A) .58 B) .37 C) .38 D) .13 A) .58 B) .37 C) .38 D) .13

Below are the data of an course that prepares students for standardized testing. The data below show pretest (test on day 1) and a post test (test after taking the course) scores of students who enrolled. Use this data to answer the following questions. \[\begin{array} { c c } \hline \text { Pretest } & \text { Posttest } \\ \hline 650 & 720 \\ 580 & 640 \\ 590 & 680 \\ 760 & 770 \\ 590 & 580 \\ 620 & 650 \\ 740 & 720 \\ 580 & 610 \\ 690 & 670 \\ 610 & 650 \\ 620 & 630 \\ 640 & 680 \\ 590 & 670 \\ \hline \end{array}\] Calculate the 95% confidence interval for the mean difference

The answer of Below are the data of an course...

Exam 12: Confidence Intervals and Effect Size: Building a Better Mousetrap

In general, when you calculate a 95% confidence interval instead of a 90% confidence interval, which of the following changes?

(Multiple Choice)

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Question 41

Use the data below for the following problem. Source SS df MS F SSeffect 244.5 2 SSerror 1436.7 23 What is the eta-squared?

(Multiple Choice)

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Question 42

Source SS df MS F Factor 1 44325 3 Factor 2 32241 2 Factor Factor 2 9382 6 Error 76257 24 How is this ANOVA best characterized and how many partial eta-squared are there for this factorial ANOVA?

(Multiple Choice)

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Question 43

Source SS df MS F Factor 1 44325 3 Factor 2 32241 2 Factor Factor 2 9382 6 Error 76257 24 What is the partial eta-squared for factor 1?

(Multiple Choice)

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Question 44

Below are the data of an course that prepares students for standardized testing. The data below show pretest (test on day 1) and a post test (test after taking the course) scores of students who enrolled. Use this data to answer the following questions. Pretest Posttest 650 720 580 640 590 680 760 770 590 580 620 650 740 720 580 610 690 670 610 650 620 630 640 680 590 670 Calculate the 95% confidence interval for the mean difference

(Short Answer)

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Question 45

Which of the following constitutes a medium effect for a Cohen's d?

(Multiple Choice)

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Question 46

Cohen's d is an estimate of the true population mean.

(True/False)

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Question 47

A research team collects data from two groups, in one group, they administered a learning task that provided feedback (i.e., telling the participant if they were right or wrong) and in the other, the participants were not provided with feedback. The research team is interested in the number of trials the participants spent learning as a function of their independent variable. Below are the number of trials each participant spent. Use it to answer the following questions. Feedback No Feedback 19 12 14 7 15 15 12 14 16 11 15 8 19 13 28 9 17 15 15 17 11 12 6 11 19 5 13 13 12 4 16 14 12 13 5 4 What is the Cohen's d?

(Short Answer)

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Question 48

When the 95% confidence interval of the mean of one group does not include 0, it means that the difference between two groups is statistically significant at the .05 level

(True/False)

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Question 49

when using a two-way ANOVA, there are exactly 3 measurable partial -eta-squared.

(True/False)

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Question 50

Effect sizes and confidence intervals becoming less and less frequently used in published research. They are more common for oral presentations.

(True/False)

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Question 51

Below are the data of an course that prepares students for standardized testing. The data below show pretest (test on day 1) and a post test (test after taking the course) scores of students who enrolled. Use this data to answer the following questions. Pretest Posttest 650 720 580 640 590 680 760 770 590 580 620 650 740 720 580 610 690 670 610 650 620 630 640 680 590 670 Calculate cohen's d

(Short Answer)

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Question 52

The null and alternate hypotheses generally are about different distributions.

(True/False)

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Question 53

Cohen's d is the effect size often reported for an independent samples t-test. How does the calculation for Cohen's d compare to the calculation of a t-statistic?

(Multiple Choice)

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Question 54

As confidence increases, precision generally decreases

(True/False)

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Question 55

The population average for number of children per household is 2.4 in a particular country with a standard deviation of 1.1. A research is conducting research in a neighborhood that has relatively low socioeconomic status. Her sample of 40 families averages at 3.3 children. construct a 95% confidence interval around the sample mean.

(Short Answer)

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Question 56

In general, when you calculate a 95% confidence interval instead of a 90% confidence interval, which of the following changes?

Use the data below for the following problem. Source SS df MS F SSeffect 244.5 2 SSerror 1436.7 23 What is the eta-squared?

Source SS df MS F Factor 1 44325 3 Factor 2 32241 2 Factor Factor 2 9382 6 Error 76257 24 How is this ANOVA best characterized and how many partial eta-squared are there for this factorial ANOVA?

Source SS df MS F Factor 1 44325 3 Factor 2 32241 2 Factor Factor 2 9382 6 Error 76257 24 What is the partial eta-squared for factor 1?

Which of the following constitutes a medium effect for a Cohen's d?

Cohen's d is an estimate of the true population mean.

When the 95% confidence interval of the mean of one group does not include 0, it means that the difference between two groups is statistically significant at the .05 level

when using a two-way ANOVA, there are exactly 3 measurable partial -eta-squared.

Effect sizes and confidence intervals becoming less and less frequently used in published research. They are more common for oral presentations.

The null and alternate hypotheses generally are about different distributions.

Cohen's d is the effect size often reported for an independent samples t-test. How does the calculation for Cohen's d compare to the calculation of a t-statistic?

As confidence increases, precision generally decreases

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

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