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Consider a sampling distribution with p=0.14 and samples of size n each. Using the appropriate formulas, find the mean and the standard deviation of the sampling distribution of the sample proportiona. For a random sample of size n = 4000b. For a random sample of size n = 1000c. For a random sample of size n=250.a. The mean is

User Sergei Shvets
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1 Answer

30 votes
30 votes

Given:

p = 0.15

The mean and standard deviation(S.D) can be calculated using the formula:


\begin{gathered} \operatorname{mean}\text{ = p} \\ S\mathrm{}D\text{ = }\sqrt[]{(p(1-p))/(n)} \end{gathered}

(a) A random sample of size n = 4000

mean = 0.14

SD:


\begin{gathered} =\text{ }\sqrt[]{(0.14(1-0.14))/(4000)} \\ =\text{ }\sqrt[]{(0.1204)/(4000)} \\ \approx\text{ 0.005486} \end{gathered}

SD = 0.005486

(b) A random sample of size n = 1000

mean = 0.14

SD:


\begin{gathered} =\text{ }\sqrt[]{(0.14(1-0.14))/(1000)} \\ =\text{ }\sqrt[]{(0.1204)/(1000)} \\ \approx\text{ }0.01097 \end{gathered}

SD = 0.01097

(C) A random sample of size n = 250

mean = 0.14

SD:


\begin{gathered} =\text{ }\sqrt[]{(0.14(1-0.14))/(250)} \\ =\sqrt[]{(0.1204)/(250)} \\ \approx\text{ 0.02195} \end{gathered}

SD = 0.02195

User Eikuh
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