Answer: a) 0.0161
b) 0.0323
Step-by-step explanation:
The standard deviation of the sampling distribution of the proportion :
[tex]\sigma_p=\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}[/tex]
a ) Given : n=700 and [tex]\hat{p}=0.76[/tex]
Then, the standard deviation of the sampling distribution of the proportion:
[tex]\sigma_p=\sqrt{\dfrac{0.76(1-0.76)}{700}}=0.0161422250192\approx0.0161[/tex]
Hence, the estimated standard deviation of the sampling distribution of the proportion =0.0161
b) If n= 175 and [tex]\hat{p}=0.76[/tex]
Then, the standard deviation of the sampling distribution of the proportion:
[tex]\sigma_p=\sqrt{\dfrac{0.76(1-0.76)}{175}}=0.0322844500385\approx0.0323[/tex]
Hence, the estimated standard deviation have been if he had surveyed only 175 customers= 0.0323