Explain why the sampling distribution of the sample proportion is assumed to be Normal. Show your steps and write down any assumptions you make.
By Central Limit Theorem:
"\\frac{\\overline{x}-\\mu}{\\sigma\/\\sqrt{n}}\\to N(0,1)" for "n\\to \\infin"
That is why the sampling distribution of the sample proportion is assumed to be Normal.
The standard deviation of sample proportion:
"\\sigma=\\sqrt{\\frac{p(1-p)}{n}}"
Since the sample size n appears in the denominator of the square root, the standard deviation does decrease as sample size increases. Finally, the shape of the distribution of p-hat will be approximately normal as long as the sample size n is large enough.
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