I need help to solve this question? A large department store chain is considering opening a new store in a town of 15,000 people. Before making the decision, a market survey is conducted. Of 200 persons interviewed, 165 indicated they would patronize the new store. Find a 95% confidence interval on the proportion p of people who will patronize the store. Use this to give a 95% confidence interval on the number of people who will patronize the store.
do you know the zscore of 95%?
no
\[\hat p\pm Z_{95}~\sqrt{\frac{pq}{n}}\]
you have to have a way to determine the zscore for 95% ... what methods are available to you?
The range of the confidence interval is defined by the sample statistic + margin of error. And the uncertainty is denoted by the confidence level.
\(\hat p\) is the fraction of people that liked it: 165 out of 200 the Z is the associated zscore for 95% about the mean and the rest is really amounts to the square root of: 165 times (200-165), divided by 200^3
lets assume for the moment that a zscore of 95% is say ... 1.96
\[\frac{165}{200}\pm1.96\sqrt{\frac{165*35}{200^3}}\]represents our confidence interval
you get the value of 1.96 from the table
thank you very much
youre welcome
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