Students who complete their exams early certainly can intimidate the other students, but do the early...

 

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Students who complete their exams early certainly can intimidate the other students, but do the early finishers perform significantly differently than the other students? A random sample of 42 students was chosen before the most recent exam in Prof. Martingale's dass, and for each student, both the score on the exam and the time it took the student to complete the exam were recorded. The least-squares regression equation relating time to complete (denoted by x, in minutes) and exam score (denoted by y) was y = 56.74 +0.29x. The standard error of the slope of this least-squares regression line was approximately 0.20. Test for a significant linear relationship between the two variables exam score and exam completion time for students in Prof. Martingale's class by doing a hypothesis test regarding the population slope B1. (Assume that the variable y follows a normal distribution for each value of x.) Use the 0.10 level of significance, and perform a two-tailed test. Then fill in the table below. (If necessary, consult a list of formulas.) The null hypothesis: H:0 文 The alternative hypothesis: # :0 The type of tesst statistic: (Choose one) v The value of the test statistic: (Round to at least three decimal places..) The two critical values at the 0.10 level of significance: (Round to at least three decimal places.) OandO の) A www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-lgNslkr7j8P3jH-IBGBİH_OB3uhhqwxlXoS5SIQhuX6YjFjUgDFRvgL3W_JSX89_v00zacJ5nLlbGpdbAGbv5N2uqw-DNB3C0JLRYNOIG2HIA0?1oBw7QYjlbavbSPXtx-YC O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND ANOVA Hypothesis tests for the correlation coefficient and the slope of.. Emmanuel V (If necessary, consult a list of formulas.) The null hypothesis: H, :0 B p H The alternative hypothesis: H1 Aa The type of test statistic: (Choose one) v ローロ D>O The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.10 level of significance: and | (Round to at least three decimal places.) Based on the data, can we conclude (using the 0.10 level) that there is a significant linear relationship between exam score and exam completion time for students in Prof. Martingale's class? O Yes O No Explanation Check 2020 McGraw-Hill Education All Rights Reserved Terms of Use Privacy Accessibility Type here to search 0哥 Students who complete their exams early certainly can intimidate the other students, but do the early finishers perform significantly differently than the other students? A random sample of 42 students was chosen before the most recent exam in Prof. Martingale's dass, and for each student, both the score on the exam and the time it took the student to complete the exam were recorded. The least-squares regression equation relating time to complete (denoted by x, in minutes) and exam score (denoted by y) was y = 56.74 +0.29x. The standard error of the slope of this least-squares regression line was approximately 0.20. Test for a significant linear relationship between the two variables exam score and exam completion time for students in Prof. Martingale's class by doing a hypothesis test regarding the population slope B1. (Assume that the variable y follows a normal distribution for each value of x.) Use the 0.10 level of significance, and perform a two-tailed test. Then fill in the table below. (If necessary, consult a list of formulas.) The null hypothesis: H:0 文 The alternative hypothesis: # :0 The type of tesst statistic: (Choose one) v The value of the test statistic: (Round to at least three decimal places..) The two critical values at the 0.10 level of significance: (Round to at least three decimal places.) OandO の) A www-awn.aleks.com/alekscgi/x/Isl.exe/1o_u-lgNslkr7j8P3jH-IBGBİH_OB3uhhqwxlXoS5SIQhuX6YjFjUgDFRvgL3W_JSX89_v00zacJ5nLlbGpdbAGbv5N2uqw-DNB3C0JLRYNOIG2HIA0?1oBw7QYjlbavbSPXtx-YC O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND ANOVA Hypothesis tests for the correlation coefficient and the slope of.. Emmanuel V (If necessary, consult a list of formulas.) The null hypothesis: H, :0 B p H The alternative hypothesis: H1 Aa The type of test statistic: (Choose one) v ローロ D>O The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.10 level of significance: and | (Round to at least three decimal places.) Based on the data, can we conclude (using the 0.10 level) that there is a significant linear relationship between exam score and exam completion time for students in Prof. Martingale's class? O Yes O No Explanation Check 2020 McGraw-Hill Education All Rights Reserved Terms of Use Privacy Accessibility Type here to search 0哥