Flat Tire and Missed Class. A classic story involves four carpooling students who missed a test and gave an excuse a flat tire. On the makeup test, the instructor asked the students to identify the particular tire that went flat. If they really didn’t have a flat tire, would they be able to identify the same tire? The author asked 41 other students to identify the tire they would select. The results are listed in the following table (except for one student who selected the spare). Use a 0.05 significance level to test the author's claim that the results fit a uniform distribution.

Flat Tire and Missed Class. A classic story involves four carpooling students who missed a test and gave an excuse a flat tire. On the makeup test, the instructor asked the students to identify the particular tire that went flat. If they really didn’t have a flat tire, would they be able to identify the same tire? The author asked 41 other students to identify the tire they would select. The results are listed in the following table (except for one student who selected the spare). Use a 0.05 significance level to test the author's claim that the results fit a uniform distribution.

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Description: Flat Tire and Missed Class. A classic story involves four carpooling students who missed a test and gave anexcuse a flat tire. On the makeup test, the instructor asked the students to identify the particular tire that went flat. Ifthey really didn’t

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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Flat Tire and Missed Class. A classic story involves four carpooling students who missed a test and gave an
excuse a flat tire. On the makeup test, the instructor asked the students to identify the particular tire that went flat. If
they really didn’t have a flat tire, would they be able to identify the same tire? The author asked 41 other students to
identify the tire they would select. The results are listed in the following table (except for one student who selected
the spare). Use a 0.05 significance level to test the author's claim that the results fit a uniform distribution.

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