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

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The t statistic is calculated by assuming that the sample size is large.

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False

Which statement is NOT true concerning the t distribution?

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C

According to the text, hypotheses related to differences in the population means can be tested using the t distribution.

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

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In a short essay, define regression analysis and discuss ways in which regression analysis can be used.

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The t statistic is a statistic that assumes that the variable has a symmetric bell-shaped distribution and the mean is known; the population variance is estimated from the sample.

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In a short essay, discuss t-test, the t statistic, and the t distribution.

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Define the null and alternative hypotheses.Discuss the relationship between the two hypotheses.

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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 ________.

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According to the text, hypotheses related to differences in population means if the population variance is unknown can be tested using the ________.

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An F-test is commonly used for the purpose of providing inferences for making statements about the means of parent populations.

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In a short essay, discuss multiple regression and the multiple regression model.

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A procedure for deriving a mathematical relationship, in the form of an equation, between a single metric dependent variable and a single metric independent variable is called univariate regression.

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R2 cannot decrease as more independent variables are added to the regression equation.

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

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

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A(n)________ is a hypothesis test using the standard normal distribution.

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The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

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________ derives a mathematical equation in the form of a straight line between a single metric criterion variable and a single metric predictor variable.

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If the probability of F is greater than the significance level α, ________ and ________ should be used.

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