Answer:
![\mu_{\hat{p}}=0.50\\\\\sigma_{\hat{p}}=0.0158](https://img.qammunity.org/2020/formulas/mathematics/college/bbs4hv1reoavbtqx9vo22qnnt98cctxomi.png)
Explanation:
The probability distribution of sampling distribution
is known as it sampling distribution.
The mean and standard deviation of the proportion is given by :-
![\mu_{\hat{p}}=p\\\\\sigma_{\hat{p}}=\sqrt{(p(1-p))/(n)}](https://img.qammunity.org/2020/formulas/mathematics/college/7ghucq7pjy1riihgetksmslg2h4uff9auk.png)
, where p =population proportion and n= sample size.
Given : According to a survey, 50% of Americans were in 2005 satisfied with their job.
i.e. p = 50%=0.50
Now, for sample size n= 1000 , the mean and standard deviation of the proportion will be :-
![\mu_{\hat{p}}=0.50\\\\\sigma_{\hat{p}}=\sqrt{(0.50(1-0.50))/(1000)}=√(0.00025)\\\\=0.0158113883008\approx0.0158](https://img.qammunity.org/2020/formulas/mathematics/college/2w2d4fx2eg9ba2lxu18yeqolasbtkipjwb.png)
Hence, the mean and standard deviation of the proportion for a sample of 1000:
![\mu_{\hat{p}}=0.50\\\\\sigma_{\hat{p}}=0.0158](https://img.qammunity.org/2020/formulas/mathematics/college/bbs4hv1reoavbtqx9vo22qnnt98cctxomi.png)