Answer:
Step-by-step explanation:
Hello!
The objective of this experiment is to assess the service customers receive at the dealerships.
1) The population in this survey is:
The population is the customers of car dealerships.
2) The sample in this survey is:
The random sample taken was 20 selected car dealerships, where the customers were surveyed.
3) A parameter that may be targeted by the survey is:
To study the service the customers receive at the dealerships and if it has any influence in the customers owning or not a car of the company, one parameter to study is the population proportion of customers that own a car of the company vs the proportion of customers that are satisfied with the service received.
4) A statistic that may be used to summarize the outcome of the survey is:
The statistic to use to summarize the outcome of the survey is the sample proportion.
I hope it helps!
Answer:A B and D
Step-by-step explanation:
USA TEST PREP.
Answer: (0.25,0.33)
Step-by-step explanation:
A 99% confidence interval for population proportion is given by:-
, where
= sample proportion,
= sample size.
Given: ![n=1025, \hat{p}=0.29](https://tex.z-dn.net/?f=n%3D1025%2C%20%5Chat%7Bp%7D%3D0.29)
A 99% confidence interval estimate of the proportion of adults who use the Internet for shopping:
![0.29\pm 2.576\sqrt{\dfrac{0.29(1-0.29)}{1025}}\\\\=0.29\pm 2.576\sqrt{0.00020087804878}\\\\=0.29\pm2.576(0.01417)\\\\=0.29\pm0.03650192\\\\=(0.29-0.03650192,\ 0.29+0.03650192)\\\\=(0.25349808,\ 0.32650192)](https://tex.z-dn.net/?f=0.29%5Cpm%202.576%5Csqrt%7B%5Cdfrac%7B0.29%281-0.29%29%7D%7B1025%7D%7D%5C%5C%5C%5C%3D0.29%5Cpm%202.576%5Csqrt%7B0.00020087804878%7D%5C%5C%5C%5C%3D0.29%5Cpm2.576%280.01417%29%5C%5C%5C%5C%3D0.29%5Cpm0.03650192%5C%5C%5C%5C%3D%280.29-0.03650192%2C%5C%200.29%2B0.03650192%29%5C%5C%5C%5C%3D%280.25349808%2C%5C%200.32650192%29)
![\approx(0.25,\ 0.33)](https://tex.z-dn.net/?f=%5Capprox%280.25%2C%5C%200.33%29)
Thus, a 99% confidence interval estimate of the proportion of adults who use the Internet for shopping = (0.25,0.33)