Find the standard deviation for the sampling distribution of the sample proportion with (i) n=100 and (ii) n=1,000 . Explain why the sample proportion would be very likely (as the figure suggests) to fall (i) between 0.35 and 0.65 when n = 100 and (ii) between 0.45 and 0.55 when n = 1,000 (HINT: Recall that for an approximately normal distribution, nearly the entire distribution is within 3 standard deviations of the mean.) Explain how the results in part b indicate that the sample proportion tends to estimate the population proportion more precisely when the sample size is larger.
Find the standard deviation for the sampling distribution of the sample proportion with (i) n=100 and (ii) n=1,000 . Explain why the sample proportion would be very likely (as the figure suggests) to fall (i) between 0.35 and 0.65 when n = 100 and (ii) between 0.45 and 0.55 when n = 1,000 (HINT: Recall that for an approximately normal distribution, nearly the entire distribution is within 3 standard deviations of the mean.) Explain how the results in part b indicate that the sample proportion tends to estimate the population proportion more precisely when the sample size is larger.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Find the standard deviation for the sampling distribution of the sample proportion with (i)
n=100 and (ii) n=1,000
.
Explain why the sample proportion would be very likely (as the figure suggests) to fall (i) between 0.35 and 0.65 when n = 100 and (ii) between 0.45 and 0.55 when n = 1,000
(HINT: Recall that for an approximately
Explain how the results in part b indicate that the sample proportion tends to estimate the population proportion more precisely when the
.
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i)
Suppose p is the population proportion.
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