Accuracy of price scanners at Wal-Mart. Refer to Exercise

Chapter 7, Problem 122SE

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QUESTION:

Accuracy of price scanners at Wal-Mart. Refer to Exercise and the study of the accuracy of checkout scanners at Wal-Mart Stores in California. Recall that the National Institute for Standards and Technology (NIST) mandates that, for every 100 items scanned through the electronic checkout scanner at a retail store, no more than 2 should have an inaccurate price. A study of random items purchased at California Wal-Mart stores found that 8.3% had the wrong price ( Tampa Tribune , Nov. 22, 2005). Assume that the study included 1,000 randomly selected items.

a. Identify the population parameter of interest in the study.

b. Set up \(H_0\) and \(H_a\) for a test to determine whether the true proportion of items scanned at California Wal-Mart stores exceeds the 2% NIST standard.

c. Find the test statistic and rejection region (at \(\alpha=.05\)) for the test.

d. Give a practical interpretation of the test.

e. What conditions are required for the inference made in part d to be valid? Are these conditions met?

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QUESTION:

Accuracy of price scanners at Wal-Mart. Refer to Exercise and the study of the accuracy of checkout scanners at Wal-Mart Stores in California. Recall that the National Institute for Standards and Technology (NIST) mandates that, for every 100 items scanned through the electronic checkout scanner at a retail store, no more than 2 should have an inaccurate price. A study of random items purchased at California Wal-Mart stores found that 8.3% had the wrong price ( Tampa Tribune , Nov. 22, 2005). Assume that the study included 1,000 randomly selected items.

a. Identify the population parameter of interest in the study.

b. Set up \(H_0\) and \(H_a\) for a test to determine whether the true proportion of items scanned at California Wal-Mart stores exceeds the 2% NIST standard.

c. Find the test statistic and rejection region (at \(\alpha=.05\)) for the test.

d. Give a practical interpretation of the test.

e. What conditions are required for the inference made in part d to be valid? Are these conditions met?

ANSWER:

Solution

Step 1 of 5

a) We have to identify the population of interest

The population of interest is p= The proportion of items having wrong piece scanned at california Wal Mart stores

Given that 8.3% had a wrong piece

Hence p=0.083


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