Exam 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design
Exam 1: Introduction to Statistics80 Questions
Exam 2: Summarizing Data: Frequency Distributions in80 Questions
Exam 3: Summarizing Data: Central Tendency80 Questions
Exam 4: Summarizing Data: Variability80 Questions
Exam 5: Probability, Normal Distributions, and Z Scores80 Questions
Exam 6: Characteristics of the Sample Mean79 Questions
Exam 7: Hypothesis Testing: Significance, Effect Size, and Power79 Questions
Exam 8: Testing Means: One-Sample T Test With Confidence Intervals80 Questions
Exam 9: Testing Means: Two- Independent-Sample T Test With Confidence Intervals76 Questions
Exam 10: Testing Means: Related-Samples T Test With Confidence Intervals79 Questions
Exam 11: One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs60 Questions
Exam 12: Two-Way Analysis of Variance: Between-Subjects Factorial Design80 Questions
Exam 13: Correlation and Linear Regression80 Questions
Exam 14: Chi-Square Tests: Goodness of Fit and the Test for Independence78 Questions
Exam 15: Nonparametric Tests for Ordinal Data: Understanding and Interpretation59 Questions
Exam 16: Chi-Square Tests: Goodness-of-Fit and Independence80 Questions
Exam 17: Understanding Regression Analysis80 Questions
Exam 18: Understanding Correlation Coefficients in Statistical Analysis80 Questions
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Computing a one-way between-subjects ANOVA is appropriate when
(Multiple Choice)
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A researcher conducts two studies using the one-way between-subjects ANOVA.The sum of squares between groups is larger in Study 1 than in Study 2;the sum of squares total is smaller in Study 1 than in Study 2.Using eta-squared,in which study will the effect size be larger?
(Multiple Choice)
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Without changing the value of error variance,the ________ the between-groups variability,the more likely we are to retain the null hypothesis.
(Multiple Choice)
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Which of the following is an assumption for computing a one-way between-subjects ANOVA?
(Multiple Choice)
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The source of variability associated with error variance in the one-way between-subjects ANOVA is called
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A researcher conducts two studies on child health.In Study 1,30 children consume either a low-,moderate-,or high-fat meal (n = 10 per group).In Study 2,the researcher conducts the same study,except that a No Meal control group is added,with n = 10 in each group.If
= 3.11 in both studies,then in which study will the decision be to reject the null hypothesis at a .05 level of significance for a one-way between-subjects ANOVA?

(Multiple Choice)
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Which measure of proportion of variance tends to overestimate the size of an effect in a population?
(Multiple Choice)
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A post hoc test is only necessary following a decision to retain the null hypothesis.
(True/False)
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The test statistic for a one-way between-subjects ANOVA is used to determine whether the variance associated with having different groups is significantly larger than the variance attributed to chance or error.
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To summarize the results of a one-way between-subjects ANOVA test,we report the test statistic,the degrees of freedom,and the p value.
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A researcher measures attractiveness ratings of a male confederate among 30 women who were told the confederate was either single,dating,or married (n = 10 per group).What are the degrees of freedom for error for the one-way between-subjects ANOVA?
(Multiple Choice)
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A significant ANOVA indicates that all pairs of group means significantly differ.
(True/False)
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For a one-way between-subjects ANOVA,a study with 3 and 36 degrees of freedom must have had participants assigned to four groups.
(True/False)
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Following a significant one-way between-subjects ANOVA in which k > 2,what is the next appropriate step?
(Multiple Choice)
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Cohen's d is the most commonly reported measure of effect size for the one-way between-subjects ANOVA.
(True/False)
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A researcher conducts a study in which k = 4 and n = 22 in each group.What are the degrees of freedom for the one-way between-subjects ANOVA?
(Multiple Choice)
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Post hoc tests control for the total alpha level for a series of tests conducted on the same data.
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