# Although high school grades and testing scores, such as

## Problem 11E Chapter 9.2

Probability and Statistical Inference | 9th Edition

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Problem 11E

Although high school grades and testing scores, such as SAT or ACT, can be used to predict first-year college grade-point average (GPA), many educators claim that a more important factor influencing GPAis the living conditions of students. In particular, it is claimed that the roommate of the student will have a great influence on his or her grades. To test this hypothesis, suppose we selected at random 200 students and classified each according to the following two attributes:

(a) Ranking of the student’s roommate on a scale from 1 to 5, with 1 denoting a person who was difficult to live with and discouraged scholarship, and 5 signifying a person who was congenial and encouraged scholarship.

(b) The student’s first-year GPA. Say this classification gives the following 5×4 contingency table:

Compute the chi-square statistic used to test the independence of the two attributes, and compare it with the critical value associated with α = 0.05.

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##### ISBN: 9780321923271

Since the solution to 11E from 9.2 chapter was answered, more than 232 students have viewed the full step-by-step answer. This textbook survival guide was created for the textbook: Probability and Statistical Inference , edition: 9th. This full solution covers the following key subjects: used, test, students, Scholarship, roommate. This expansive textbook survival guide covers 59 chapters, and 1476 solutions. The full step-by-step solution to problem: 11E from chapter: 9.2 was answered by , our top Statistics solution expert on 07/05/17, 04:50AM. Probability and Statistical Inference was written by and is associated to the ISBN: 9780321923271. The answer to “Although high school grades and testing scores, such as SAT or ACT, can be used to predict first-year college grade-point average (GPA), many educators claim that a more important factor influencing GPAis the living conditions of students. In particular, it is claimed that the roommate of the student will have a great influence on his or her grades. To test this hypothesis, suppose we selected at random 200 students and classified each according to the following two attributes:(a) Ranking of the student’s roommate on a scale from 1 to 5, with 1 denoting a person who was difficult to live with and discouraged scholarship, and 5 signifying a person who was congenial and encouraged scholarship.(b) The student’s first-year GPA. Say this classification gives the following 5×4 contingency table: Compute the chi-square statistic used to test the independence of the two attributes, and compare it with the critical value associated with ? = 0.05.” is broken down into a number of easy to follow steps, and 153 words.

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