A market researcher for a provider of music player accessories wants to know the proportion of customers who own cars to assess the market for a new car charger. A survey of 700 customers indicates that 76​% own cars.

​a) What is the estimated standard deviation of the sampling distribution of the​ proportion?
​b) How large would the estimated standard deviation have been if he had surveyed only 175 customers​ (assuming the proportion is about the​ same)?

Respuesta :

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