Exam 18: Review of Statistical Inference

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A straight line regression model with only one independent variable is called a(n)____________________-order linear model.

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The degrees of freedom for the test statistic in a test of a contingency table is ( r - 1 )( c - 1 )where r is the number of rows in the table, and c is the number of columns.

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When comparing two population variances, we use the ratio When comparing two population variances, we use the ratio   rather than the difference   . rather than the difference When comparing two population variances, we use the ratio   rather than the difference   . .

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A scatter diagram includes the following data points: A scatter diagram includes the following data points:   Two regression models are proposed: (1)   , and (2)   . Using the least squares method, which of these regression models provides the better fit to the data? Why? Two regression models are proposed: (1) A scatter diagram includes the following data points:   Two regression models are proposed: (1)   , and (2)   . Using the least squares method, which of these regression models provides the better fit to the data? Why? , and (2) A scatter diagram includes the following data points:   Two regression models are proposed: (1)   , and (2)   . Using the least squares method, which of these regression models provides the better fit to the data? Why? . Using the least squares method, which of these regression models provides the better fit to the data? Why?

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If we square the t -statistic for two means, the result is the ____________________-statistic.

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We use a t -test to determine whether two population variances are equal.

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Which of the following conditions is needed regarding the chi-squared test statistic for the test of variance?

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Consider a multinomial experiment involving 100 trials and 3 categories (cells). The observed frequencies resulting from the experiment are shown in the accompanying table. Consider a multinomial experiment involving 100 trials and 3 categories (cells). The observed frequencies resulting from the experiment are shown in the accompanying table.     Use the 5% significance level to test the hypotheses H <sub>0</sub>: p <sub>1</sub> = 0.45, p <sub>2</sub> = 0.30, p <sub>3</sub> = 0.25 vs. H <sub>1</sub>: At least two proportions differ from their specified values. Use the 5% significance level to test the hypotheses H 0: p 1 = 0.45, p 2 = 0.30, p 3 = 0.25 vs. H 1: At least two proportions differ from their specified values.

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Another name for the residual term in a regression equation is random error.

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A chi-squared test is used to describe a population of nominal data.

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The test statistic for the chi-squared test of a contingency table is the same as the test statistic for the goodness-of-fit test.

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In the first-order linear regression model, the population parameters of the y -intercept and the slope are, respectively,

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Which of the following is not an example illustrating the use of variance?

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An inverse relationship between an independent variable x and a dependent variably y means that as x increases, y decreases, and vice versa.

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The ____________________ adjustment used with the LSD method decreases the experimentwise Type I error rate.

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Conducting t -tests for each pair or population means is statistically equivalent to conducting one F -test comparing all the population means.

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In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent.

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SSE stands for ____________________ of squares for ____________________.

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In reference to the equation In reference to the equation   , the value 0.12 is the average change in y per unit change in x <sub>1</sub>, when x <sub>2</sub> is held constant. , the value 0.12 is the average change in y per unit change in x 1, when x 2 is held constant.

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We use the analysis of variance (ANOVA)technique to compare two or more population means.

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