Exam 5: Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the Z Distribution
Exam 1: A Gentle Introduction25 Questions
Exam 2: Descriptive Statistics: Understanding Distributions of Numbers25 Questions
Exam 3: Statistical Parameters: Measures of Central Tendency and Variation25 Questions
Exam 4: Standard Scores, the Z Distribution, and Hypothesis Testing25 Questions
Exam 5: Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the Z Distribution15 Questions
Exam 6: An Introduction to Correlation and Regression30 Questions
Exam 7: The T Test for Independent Groups15 Questions
Exam 8: The T Test for Dependent Groups20 Questions
Exam 9: Analysis of Variance Anova: One-Factor Completely Randomized Design30 Questions
Exam 10: After a Significant Analysis of Variance: Multiple Comparison Tests16 Questions
Exam 11: Analysis of Variance Anova: One-Factor Repeated-Measures Design10 Questions
Exam 12: Analysis of Variance: Two-Factor Completely Randomized Design25 Questions
Exam 13: Post Hoc Analysis of Factorial Anova20 Questions
Exam 14: Factorial Anova: Additional Designs20 Questions
Exam 15: Nonparametric Statistics: The Chi-Square Test20 Questions
Exam 16: Other Statistical Parameters and Tests20 Questions
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Which of the following is true about correlational designs?
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A
In the section "Can Statistics Solve Every Problem?" your course author argues
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False
Which of the following is a Type I error?
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B
The difference between two means in a controlled experiment that is just attributed to chance or random error is called ___________ in the signal-to-noise ratio.
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If a magician claims that he can bend spoons with his mind, what did Carl Sagan propose to test the claim?
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A dependent variable in an experiment can be likened to the ___________ in the signal-to-noise ratio.
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Because it is said in science "one experiment does not prove anything," statisticians rely on ___________ to test the usefulness of theories.
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In the classic two-group controlled experiment, what parameter is of central interest between the two groups?
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The minimum conventional level of statistical significance is ___________.
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In the section "Trends, and Does God Really Love the .05 Level of Significance More Than the .06 Level?" Rosnow and Rosenthal have argued that the strength of evidence for or against a null hypothesis should be a fairly continuous function of the size of
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When findings in an experiment do not reach the conventional level of statistical significance, they are reported to be ___________.
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The probability of committing the Type II error is also called ___________.
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The probability of committing the Type I error is also called ___________.
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Which of the following is more likely to end up being too sensitive to chance differences?
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