Exam 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction
Exam 1: Statistics or Sadistics Its up to You50 Questions
Exam 2: Means to an End: Computing and Understanding Averages79 Questions
Exam 3: Vive La Différence: Understanding Variability80 Questions
Exam 4: A Picture Really Is Worth a Thousand Words41 Questions
Exam 5: Ice Cream and Crime: Computing Correlation Coefficients77 Questions
Exam 6: Just the Truth: An Introduction to Understanding Reliability and Validity77 Questions
Exam 7: Hypotheticals and You: Testing Your Questions73 Questions
Exam 8: Are Your Curves Normal Probability and Why It Counts76 Questions
Exam 9: Significantly Significant: What It Means for You and Me78 Questions
Exam 10: Only the Lonely: The One Sample Z-Test79 Questions
Exam 11: Tea for Two: Tests Between the Means of Different Groups69 Questions
Exam 12: Tea for Two Again: Tests Between the Means of Related Groups81 Questions
Exam 13: Two Groups Too Many Try Analysis of Variance77 Questions
Exam 14: Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction77 Questions
Exam 15: Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient75 Questions
Exam 16: Predicting Wholl Win the Super Bowl: Using Linear Regression79 Questions
Exam 17: What to Do When Youre Not Normal: CHI-Square and Some Other Nonparametric Tests75 Questions
Exam 18: Some Other Important Statistical Procedures You Should Know About47 Questions
Exam 19: Data Mining: An Introduction to Getting the Most Out of Your Big Data50 Questions
Exam 20: A Statistical Software Sampler9 Questions
Exam 21: The Ten or More Best and Most Fun Internet Sites for Statistics Stuff9 Questions
Exam 22: The Ten Commandments of Data Collection10 Questions
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In the main effect F₍₁,₁₂₎ = 5.25, p < .05, what is the number of 5.25?
(Multiple Choice)
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The factorial ANOVA can test main effects but not interaction effects.
(True/False)
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When you are interested in finding out if students' achievement level changes over time as result of a reading intervention, what type of ANOVA would you use?
(Multiple Choice)
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In the main effect F₍₁,₉₎ = 1.67, p = .229, what does F stand for?
(Multiple Choice)
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What do we call the difference when results showed a difference between levels of a factor?
(Multiple Choice)
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In a factorial ANOVA, the null hypothesis for the interaction might look like this:
(Multiple Choice)
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What three questions can you answer by doing a 2 × 2 factorial analysis?
(Essay)
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When plotted on a graph, if the lines representing the effects of two variables cross, you have _______.
(Multiple Choice)
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If an independent variable has a significant effect on the outcome variable, you have a main effect.
(True/False)
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In a factorial ANOVA, one of the research hypotheses for a main effect might look like this:
A)
B)
C)
D)
(Short Answer)
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When you want to examine the impact of more than one independent variable on the outcome variable, what type of ANOVA should be used?
(Multiple Choice)
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What are the three null hypotheses used in a 2 × 2 factorial analysis?
(Essay)
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Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy) and gender on college students' happiness.What is the following table called? Source Surns of Squares df Mean square F Significance Therapy 265.225 1 265.225 2.444 .127 Gender 207.025 1 207.205 1.908 176 Therapy \times Gender 1,050.625 1 1,050.625 9.683 .004 Error 108.503 Total
(Multiple Choice)
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