Download 9.2 Sample Proportions (pp.472-479) In an SRS of size n, what is

9.2 Sample Proportions (pp.472-479)
In an SRS of size n, what is true about the sampling distribution of p when the sample size n increases?
1.
As n, the sample size, increase the sampling distribution of p becomes more normal.
In an SRS of size n, what is the mean of the sampling distribution of p ?
2.
The mean of the sampling distribution of p is the population mean. OR
p=p
In an SRS of size n, what is the standard deviation of the sampling distribution of p ?
3.
The standard deviation of the sampling distribution is:  p 
p(1  p)
n
What happens to the standard deviation of p as the sample size n increases?
4.
As n, sampling size, increases the standard deviation of p decreases.
5.
When does the formula
p(1  p) apply to the standard deviation of
n
p
?
Page 583 Rule of thumb #1 Only when the population is at least 10 times larger than the sample size.
N ≥ 10n
6.
When the sample size n is large, the sampling distribution of p is approximately normal.
What test can you use to determine if the sample is large enough to assume that the
sampling distribution is approximately normal?
Page 583 Rule of thumb #2
np ≥ 10 and n(1-p) ≥ 10
Both of these must be true.
Chapter 9: Sampling Distributions