Exam 9: Significantly Significant: What It Means for You and Me
Exam 1: Statistics or Sadistics? It’s Up to You30 Questions
Exam 2: Means to an End: Computing and Understanding Averages30 Questions
Exam 3: Vive La Différence: Understanding Variability30 Questions
Exam 4: A Picture Really Is Worth a Thousand Words30 Questions
Exam 5: Ice Cream and Crime: Computing Correlation Coefficients30 Questions
Exam 6: Just the Truth: An Introduction to Understanding Reliability and Validity30 Questions
Exam 7: Hypotheticals and You: Testing Your Questions30 Questions
Exam 8: Are Your Curves Normal? Probability and Why It Counts30 Questions
Exam 9: Significantly Significant: What It Means for You and Me30 Questions
Exam 10: Only the Lonely30 Questions
Exam 11: t(ea) for Two (Again): Tests Between the Means of Related Groups30 Questions
Exam 12: t(ea) for Two (Again): Tests Between the Means of Related Groups30 Questions
Exam 13: Two Groups Too Many? Try Analysis of Variance30 Questions
Exam 14: Two Too Many Factors: Factorial Analysis of Variance30 Questions
Exam 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient32 Questions
Exam 16: Predicting Who’ll Win the Super Bowl: Using Linear Regression30 Questions
Exam 17: What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests30 Questions
Exam 18: Some Other (Important) Statistical Procedures You Should Know About20 Questions
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If you conclude that your findings yield a 1-in-100 chance that differences were not due to the hypothesized reason, what is the corresponding p value?
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Complete the following table:
"ru!l! True "ruul!" False Reject "rru!l!" Retain "ruLl!"
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What is the test statistic that is calculated by the statistical procedure known as?
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When reporting statistical significance, how is this usually represented?
(Multiple Choice)
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If the obtained value is less than the critical value, what should you do?
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If you want to examine the difference between the average scores for students on a pretest/posttest measure, which of the statistical techniques should you select?
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Which of the following occurs when you reject the null hypothesis when it is really false?
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