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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If the results of a correlational study were reported as r(48) = -.47, p < .05, then which of the following statements is true?
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If the coefficient of determination equals .49, then r equals.
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When calculating the Pearson correlation coefficient, is called the of
X and Y.


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If values of one variable in a scatterplot increase while the values of the other decrease, then the relationship is described as.
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If the results of a study using the Spearman correlation coefficient were reported as rS(23) = -.32, p > .05, then you would know that H0 was and was.
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The value of r may lie within an interval of values ranging from.
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A plot or graph of the relationship between two variables is known as a.
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A linear relationship between two variables can be described by a.
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Relationships between two variables that can be described by a straight line are called relationships.
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If the X and Y scores of a bivariate distribution are not related, then the CPXY on these scores should be.
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If robs = -.60, then percent of the variance in the scores of one variable is associated with variation in the other variable.
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If the results of a study using the Spearman correlation coefficient were reported as rS(16) = -.34, p > .05, then you would know that subjects participated in the study.
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