Answer: a) 0.0161
b) 0.0323
Explanation:
The standard deviation of the sampling distribution of the proportion :

a ) Given : n=700 and

Then, the standard deviation of the sampling distribution of the proportion:

Hence, the estimated standard deviation of the sampling distribution of the proportion =0.0161
b) If n= 175 and

Then, the standard deviation of the sampling distribution of the proportion:

Hence, the estimated standard deviation have been if he had surveyed only 175 customers= 0.0323