24. Store Checkout-Scanner Accuracy In a study of store checkout-scanners, 1234 items were checked for pricing accuracy; 20 checked items were found to be overcharges, and 1214 checked items were not overcharges (based on data from “UPC Scanner Pricing Systems: Are They Accurate?" by Goodstein, Journal of Marketing, Vol. 58). Use a 0.05 significance level to test the claim that with scanners, 1% of sales are overcharges. (Before scanners were used, the overcharge rate was estimated to be about 1%.) Based on these results, do scanners appear to help consumers avoid overcharges?
24. Store Checkout-Scanner Accuracy In a study of store checkout-scanners, 1234 items were checked for pricing accuracy; 20 checked items were found to be overcharges, and 1214 checked items were not overcharges (based on data from “UPC Scanner Pricing Systems: Are They Accurate?" by Goodstein, Journal of Marketing, Vol. 58). Use a 0.05 significance level to test the claim that with scanners, 1% of sales are overcharges. (Before scanners were used, the overcharge rate was estimated to be about 1%.) Based on these results, do scanners appear to help consumers avoid overcharges?
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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Transcribed Image Text:24. Store Checkout-Scanner Accuracy In a study of store checkout-scanners, 1234 items
were checked for pricing accuracy; 20 checked items were found to be overcharges, and 1214
checked items were not overcharges (based on data from "UPC Scanner Pricing Systems: Are
They Accurate?" by Goodstein, Journal of Marketing, Vol. 58). Use a 0.05 significance level to
test the claim that with scanners, 1% of sales are overcharges. (Before scanners were used, the
overcharge rate was estimated to be about 1%.) Based on these results, do scanners appear to
help consumers avoid overcharges?

Transcribed Image Text:Testing Claims About Proportions. In Exercises 9–32, test the given claim. Identify the
null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state
the conclusion about the null hypothesis, as well as the final conclusion that addresses the
original claim. Use the P-value method unless your instructor specifies otherwise. Use the
normal distribution as an approximation to the binomial distribution, as described in Part 1
of this section.
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