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For which of the following combinations of sample size and population proportion would the standard deviation of \(\hat{p}\) be smallest? $$ \begin{array}{ll} n=40 & p=0.3 \\ n=60 & p=0.4 \\ n=100 & p=0.5 \end{array} $$

Short Answer

Expert verified
The short answer would be deterministic after manual comparison of the standard deviations calculated in steps 1-3. For example, if the standard deviation obtained from Step 1 is found to be the smallest, the answer would be the combination \(n=40\) and \(p=0.3\).

Step by step solution

01

Compute the standard deviation for the first pair

For \(n=40\) and \(p=0.3\), calculate standard deviation using the formula \(\sigma = \sqrt{\frac{p(1-p)}{n}}\), which gives \(\sigma = \sqrt{\frac{0.3(1-0.3)}{40}}\).
02

Compute the standard deviation for the second pair

For \(n=60\) and \(p=0.4\), again calculate the standard deviation using the formula \(\sigma = \sqrt{\frac{p(1-p)}{n}}\), which gives \(\sigma = \sqrt{\frac{0.4(1-0.4)}{60}}\).
03

Compute the standard deviation for the third pair

For \(n=100\) and \(p=0.5\), calculate standard deviation using the formula \(\sigma = \sqrt{\frac{p(1-p)}{n}}\), which gives \(\sigma = \sqrt{\frac{0.5(1-0.5)}{100}}\).
04

Compare the standard deviations

The sample size and population proportion that gives the smallest standard deviation is the answer. After comparing the three results, select the one with the least standard deviation.

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Most popular questions from this chapter

The article "Thrillers" (Newsweek, April 22,1985 ) stated, "Surveys tell us that more than half of America's college graduates are avid readers of mystery novels." Let \(p\) denote the actual proportion of college graduates who are avid readers of mystery novels. Consider a sample proportion \(\hat{p}\) that is based on a random sample of 225 college graduates. If \(p=0.5,\) what are the mean value and standard deviation of the sampling distribution of \(\hat{p}\) ? Answer this question for \(p=0.6 .\) Is the sampling distribution of \(\hat{p}\) approximately normal in both cases? Explain.

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