Exam 12: Data Analysis: Hypothesis Testing Related to Differences, Correlation, and Regression

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The multiple correlation coefficient, R, can also be viewed as the simple correlation coefficient, r, between Y and Ŷ.

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A test for differences in the means of paired samples is called the paired samples t-test.

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Non-parametric tests are hypothesis testing procedures that assume the variables of interest are measured on at least an interval scale.

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In multiple regression, the strength of association is measured by the square of the multiple correlation coefficient, which is called the coefficient of multiple determination.

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A test for differences in the means of paired samples is called the ________.

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According to the text, the beta coefficient is also called the ________.

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The two sets of degrees of freedom in which the F distribution depends on are the degrees of freedom in the ________ and the degrees of freedom in the ________.

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________ are hypothesis testing procedures that assume the variables of interest are measured on at least an interval scale.

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The strength of association is measured by the ________.

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According to the text, the ________ can be conducted on the means of one sample or two samples of observations.

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According to the text, the ________ measures the linear association between two metric variables.

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A(n)________ of sample variance may be performed if it is not known whether the two populations have equal variance.

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Two samples that are not experimentally related are called dependent samples.

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According to the text, the beta coefficient is also called the beta weight.

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