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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In a test to determine if r is statistically significant, the df for robs are equal to.
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If robs falls into a rejection region, then the decision is to H0 and H1.
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Crime rates usually are positively related to population density. Thus you expect that.
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Researchers have found a negative correlation between the number of hours a high school student works and high school achievement. Given this knowledge, you would expect that.
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The pattern of scores in a scatterplot that indicates no relationship between two variables is.
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Which correlation coefficient represents the weakest association between the X and Y variables?
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If two variables are related so that increasing values of one variable are associated with increasing values of the other, then there is a (or ) relationship between the variables.
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A perfect linear relationship of variables X and Y would result in a value of robs equal to .
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If the scores of either the X or Y variable are restricted in value, then we expect
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If the results of a correlational study were reported as r(20) = +.57, p < .05, then you would know that H0 was and was.
(Multiple Choice)
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You obtained robs = +.39 when correlating the number of hours per week spent studying by a student and his or her grade point average. In order to find if this correlation coefficient is statistically significant, you need to know the.
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In a test to determine if r is statistically significant, H1 is.
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If the results of a correlational study were reported as r(12) = -.32, p > .05, then you would know that subjects participated in the study.
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If two variables are related so that increasing values of one variable are associated with decreasing values of the other, then there is a (or ) relationship between the variables.
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A representation of a relationship between two variables in graphic form is a distribution.
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How will r be affected by decreasing the range of values of variable X?
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If the results of a study using the Spearman correlation coefficient were reported as rS(28) = -.44, p < .05, then which of the following statements is true?
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