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.

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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.


.

 

7.10 EFFECT OF ʼn ON SAMPLE PROPORTION The figure illustrates
two sampling distributions for sample proportions when the population
proportion p = 0.50.
0.35 0.40 0.45
Population proportion
0.50
n = 1,000, showing sample
proportion very likely to
fall between 0.45 and 0.55
n = 100
0.55 0.60
0.65
Sample proportion
Transcribed Image Text:7.10 EFFECT OF ʼn ON SAMPLE PROPORTION The figure illustrates two sampling distributions for sample proportions when the population proportion p = 0.50. 0.35 0.40 0.45 Population proportion 0.50 n = 1,000, showing sample proportion very likely to fall between 0.45 and 0.55 n = 100 0.55 0.60 0.65 Sample proportion
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Suppose p is the population proportion.

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