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The following data represent the Calculus grades for a random sample of 10 freshmen at a certain college along with their scores on a FINAL TEST. Student Score, z Calculus, y 1 65 2.7 2 50 3.6 3 55 3.7 4 65 2.5 5 87 1.6 6 77 2.2 7 90 1.3 8 83 1.9 9 48 4.0 10 81 2.0 Compute and interpret the sample correlation coefficient. (b) State necessary assumptions on random variables. (c) Test the hypothesis that p = 0.5 against the alternative that p > 0.5. Use a P-value in the conclusion.

The following data represent the Calculus grades for a random sample of 10 freshmen at a certain college along with their scores on a FINAL TEST. Student Score, z Calculus, y 1 65 2.7 2 50 3.6 3 55 3.7 4 65 2.5 5 87 1.6 6 77 2.2 7 90 1.3 8 83 1.9 9 48 4.0 10 81 2.0 Compute and interpret the sample correlation coefficient. (b) State necessary assumptions on random variables. (c) Test the hypothesis that p = 0.5 against the alternative that p > 0.5. Use a P-value in the conclusion.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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The following data represent the Calculus grades for a random sample of 10 freshmen at a certain college along with their scores on a FINAL TEST. Student Score, z Calculus, y 1 65 2.7 2 50 3.6 3 55 3.7 4 65 2.5 5 87 1.6 6 77 2.2 7 90 1.3 8 83 1.9 9 48 4.0 10 81 2.0 Compute and interpret the sample correlation coefficient. (b) State necessary assumptions on random variables. (c) Test the hypothesis that p = 0.5 against the alternative that p> 0.5. Use a P-value in the conclusion.
Transcribed Image Text:The following data represent the Calculus grades for a random sample of 10 freshmen at a certain college along with their scores on a FINAL TEST. Student Score, z Calculus, y 1 65 2.7 2 50 3.6 3 55 3.7 4 65 2.5 5 87 1.6 6 77 2.2 7 90 1.3 8 83 1.9 9 48 4.0 10 81 2.0 Compute and interpret the sample correlation coefficient. (b) State necessary assumptions on random variables. (c) Test the hypothesis that p = 0.5 against the alternative that p> 0.5. Use a P-value in the conclusion.
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