Explanation The percentage of drive-thru orders filled correctly is 0.964. The alternative hypothesis for testing is defined as H 1 : p ≠ 0.964 , that is, the drive-thru is more accurate than chick-fil-A. The null hypothesis is defined as H 0 : p = 0.964 , that is, the drive-thru is less accurate than chick-fil-A. There are 350 total orders. The number of orders out of 350 that support this claim is calculated as z 0 = p ^ − 0.964 0.964 ( 1 − 0.964 ) 350 It is provided that drive-thru has a significant accuracy record than chick-fill. So to prove this claim, the critical value of z at 0.1 significance level is less than the test statistic value is shown below: z 0 = p ^ − 0.964 0.964 ( 1 − 0.964 ) 350 ≥ 1

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ISBN: 9780135960592

Author: Sullivan

Publisher: PEARSON CO

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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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Chapter 10.2, Problem 25AYU

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Ch. 10.1 - 1. A ___________ is a statement regarding a...Ch. 10.1 - 2. ___________ ___________ is a procedure, based...Ch. 10.1 - 3. The ___________ ________ is a statement of no...Ch. 10.1 - 4. The ___________ ___________ is a statement we...Ch. 10.1 - 5. If we reject the null hypothesis when the...Ch. 10.1 - 6. If we do not reject the null hypothesis when...Ch. 10.1 - 7. The ___________ is the probability of making a...Ch. 10.1 - 8. True or False: Sample evidence can prove a null...Ch. 10.1 - Prob. 9AYU Ch. 10.1 - In Problems 9–14, the null and alternative...

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