Exam 13: Correlation: Understanding Covariation
Exam 1: Making Sense of Variability: an Introduction to Statistics 42 Questions
Exam 2: Statistics in the Context of Scientific Research50 Questions
Exam 3: Looking at Data: Frequency Distributions and Graphs59 Questions
Exam 4: Looking at Data: Measures of Central Tendency55 Questions
Exam 5: Looking at Data: Measures of Variability53 Questions
Exam 6: The Normal Distribution, Probability, and Standard Scores67 Questions
Exam 7: Understanding Data: Using Statistics for Inference and Estimation58 Questions
Exam 8: Is There Really a Difference Introduction to Statistical Hypothesis Testing91 Questions
Exam 9: The Basics of Experimentation and Testing for a Difference Between Means82 Questions
Exam 10: One-Factor Between-Subjects Analysis of Variance99 Questions
Exam 11: Two-Factor Between-Subjects Analysis of Variance92 Questions
Exam 12: One-Factor Within-Subjects Analysis of Variance74 Questions
Exam 13: Correlation: Understanding Covariation76 Questions
Exam 14: Regression Analysis: Predicting Linear Relationships55 Questions
Exam 15: Nonparametric Tests45 Questions
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The extent to which two variables share common variance is estimated by.
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A Pearson r should be calculated only when the relationship between two variables can be assumed to be.
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If the results of a correlational study were reported as r(42) = +.26, p > .05, then you would know that H0 was and was.
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If the results of a correlational study were reported as r(14) = +.23, p > .05, then which of the following statements is true?
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An assumption of the statistical test for the significance of r is that the.
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The sign of r indicates the of the relationship between two variables.
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In a test to determine if r is statistically significant, H0 is.
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The Spearman r describes the relationship between pairs of scores that represent measurement.
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An assumption of the statistical test for the significance of r is that.
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If robs does not fall into a rejection region, then the decision is to H0 and H1.
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A psychologist has found a correlation of +.54 between measures of need for achievement and college grade point average. Given this knowledge, you would expect that.
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If two variables are related so that as values of one variable increase the values of the other also increase, then the relationship is said to be.
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If the results of a study using the Spearman correlation coefficient were reported as rS(29) = -.24, p > .05, then which of the following statements is true?
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If the results of a study using the Spearman correlation coefficient were reported as rS(17) = +.63, p < .05, then you would know that H0 was and was.
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If the results of a study using the Spearman correlation coefficient were reported as rS(18) = +.57, p < .05, then which of the following statements is true?
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