Exam 15: Correlation
Exam 1: Introduction to Statistics80 Questions
Exam 2: Summarizing Data: Frequency Distributions in Tables and Graphs80 Questions
Exam 3: Summarizing Data: Central Tendency80 Questions
Exam 4: Summarizing Data: Variability80 Questions
Exam 5: Probability80 Questions
Exam 6: Probability, Normal Distributions, and Z Scores80 Questions
Exam 7: Probability and Sampling Distributions80 Questions
Exam 8: Hypothesis Testing: Significance, Effect Size, and Power80 Questions
Exam 9: Testing Means: One-Sample and Two-Independent Sample T Tests80 Questions
Exam 10: Testing Means: Related Samples T Test79 Questions
Exam 11: Estimation and Confidence Intervals60 Questions
Exam 12: Analysis of Variance: One-Way Between-Subjects Design80 Questions
Exam 13: Analysis of Variance: One-Way Within-Subjects Repeated Measures Design80 Questions
Exam 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design80 Questions
Exam 15: Correlation80 Questions
Exam 16: Linear Regression and Multiple Regression80 Questions
Exam 17: Nonparametric Tests: Chi-Square Tests80 Questions
Exam 18: Nonparametric Tests: Tests for Ordinal Data60 Questions
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Select the description below that identifies the following correlation: r = .28,p < .01.
(Multiple Choice)
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We convert r to a t statistic for which of the following correlation tests?
(Multiple Choice)
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The normality assumption states that the population of X and Y scores form a bivariate ("two variable")normal distribution,such that
(Multiple Choice)
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Which of the following would not be reported for a correlation?
(Multiple Choice)
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Suppose a correlation is computed in each of two samples.If the value of
Is the same in each sample,and
Is larger in Sample 1,then in which sample will the value of the correlation coefficient be larger?
(Multiple Choice)
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A researcher measures the following correlation: r = -0.21.What is the value of the coefficient of determination?
(Multiple Choice)
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The assumption that there is an equal variance or scatter of data points dispersed along the regression line is referred to as
(Multiple Choice)
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A researcher measures the following correlation between cups of coffee consumed daily and daily work schedule.Which description best explains the relationship between these two factors? 
(Multiple Choice)
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Which of the following is a limitation for interpreting a correlation?
(Multiple Choice)
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The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between two ranked or ordinal variables is
(Multiple Choice)
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A correlation of r = .50 in a sample of 15 participants is statistically significant for a two-tailed test at a .05 level of significance.
(True/False)
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Which of the following is the assumption that the best way to describe the pattern of data is using a straight line?
(Multiple Choice)
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A researcher measures the correlation between the frequency of self-esteem (high,low)and health status (lean/healthy,overweight/obese).Based on the frequencies for each nominal category given below,what is the value of the phi correlation coefficient? 
(Multiple Choice)
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A researcher determines that
= 3.76 to test for significance for a phi correlation coefficient.What was the decision for this phi correlation test?
(Multiple Choice)
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A researcher observes a correlation of values from 2 to 10 points and draws conclusions about the full range of values in the population from 0 to 21 points.Which limitation for correctly interpreting a correlation coefficient did the researcher violate?
(Multiple Choice)
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The point-biserial correlation coefficient is a measure of the direction and strength of the linear relationship between two variables,where
(Multiple Choice)
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Restriction of range occurs when an unanticipated variable not accounted for in a research study that could be causing or associated with observed changes in one or more measured variables.
(True/False)
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Three assumptions for a correlation are homoscedasticity,linearity,and normality.
(True/False)
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The Spearman correlation coefficient is used to measure the correlation between two nominal variables.
(True/False)
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