A local men's clothing store is being sold. The buyers are trying to estimate the percentage of items that are outdated. They will choose a random sample from the 100,000 items in the store's inventory in order to determine the proportion of merchandise that is outdated. The current owners have never determined the percentage of outdated merchandise and cannot help the buyers. How large a sample do the buyers need in order to be 90% confident that the margin of error of their estimate is about 2%? 6766 1029 1692 3383

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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Solve the problem.
A local men's clothing store is being sold. The buyers are trying to estimate the
percentage of items that are outdated. They will choose a random sample from the
100,000 items in the store's inventory in order to determine the proportion of
merchandise that is outdated. The current owners have never determined the
percentage of outdated merchandise and cannot help the buyers. How large a
sample do the buyers need in order to be 90% confident that the margin of error of
their estimate is about 2%?
6766
1029
1692
3383
Solve the problem.
What is the confidence coefficient in a 95% confidence interval for ?
475
.025
.05
.95
Transcribed Image Text:Solve the problem. A local men's clothing store is being sold. The buyers are trying to estimate the percentage of items that are outdated. They will choose a random sample from the 100,000 items in the store's inventory in order to determine the proportion of merchandise that is outdated. The current owners have never determined the percentage of outdated merchandise and cannot help the buyers. How large a sample do the buyers need in order to be 90% confident that the margin of error of their estimate is about 2%? 6766 1029 1692 3383 Solve the problem. What is the confidence coefficient in a 95% confidence interval for ? 475 .025 .05 .95
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