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2019 Resent Fall Math 302 Final Exam

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Part 1 of 16 - 2.0/ 2.0 Points Question 1 of 23 1.0/ 1.0 Points The chi-square goodness-of-fit test can be used to test for: A.significance of sample statistics B.difference between population mea ... ns C.difference between population variances D.normality Answer Key: D Question 2 of 23 1.0/ 1.0 Points A company operates four machines during three shifts each day. From production records, the data in the table below were collected. At the .05 level of significance test to determine if the number of breakdowns is independent of the shift. Machine Shift A B C D 1 41 20 12 16 2 31 11 9 14 3 15 17 16 10 A.The number of breakdowns is dependent on the shift, because the test value 11.649 is less than the critical value of 12.592. B.The claim that the number of breakdowns is independent of the shift cannot be rejected, because the test value 11.649 is less than the critical value of 12.592. C.The number of breakdowns is dependent on the shift, because the p-value is .07. D.The number of breakdowns is independent of the shift, because the test value 12.592 is greater than the critical value of 11.649.2019 Resent Fall Math 302 Final Exam Answer Key: B Part 2 of 16 - 3.0/ 3.0 Points Question 3 of 23 1.0/ 1.0 Points In choosing the “best-fitting” line through a set of points in linear regression, we choose the one with the: A.smallest number of outliers B.largest sum of squared residuals C.largest number of points on the line D.smallest sum of squared residuals Answer Key: D Question 4 of 23 1.0/ 1.0 Points A linear regression analysis produces the equation y = 5.32 + (-0.846)x Which of the following statements must be true? A.As x increases, y increases, and the correlation coefficient must be positive. B.As x increases, y decreases, and the correlation coefficient must be positive. C.As x increases, y increases, and the correlation coefficient must be negative. D.As x increases, y decreases, and the correlation coefficient must be negative. Answer Key: D Question 5 of 23 1.0/ 1.0 Points The standard error of the estimate, sest, is essentially the2019 Resent F [Show More]

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