Question

A simple random sample of size n=74 is obtained from a population with 82 and 8-6 Does the population need to be normally distributed for the sampling distribution of to be approximately normally distributed? Why? What is the sampling distribution of i? Does the population need to be normally distributed for the sampling distribution of to be approximately normally dibuted? Why? O A. No because the Central Limit Theorem states that only if the shape of the underlying population is normal or uniform does the sampling distribution of become approximately normal as the sample size, n, increases OB. Yes because the Central Limit Theorem states that only for underlying populations that are normal is the shape of the sampling distribution of normal regardless the sample size, OC. Yes because the Central Limit Theorem states that the sampling Variability of nonnommal populations will increase as the sample size increases OD. No because the Central Limit Theorem states that regardless of the shape of the underlying population, the sampling distribution of becomes approximately normal as the sample size. Increases What is the sampling distribution of x? Select the correct choice below and in the answer boxes within your choice (Type integers or decimals rounded to three decimal places as needed) O A. The sampling distribution of x is normal or approximately normal with and :-) OB. The sampling distribution of x follows Student'st-distribution with p; and :- OC. The sampling distribution of x is uniform with and :- D. The sampling distribution of x is skewed left with and e;- Click to select and enter your answer(s).

Answer 1

Salubon: 9) No, because CLT states that regardles of shape of population, the sompling distribution of À becomes approximatly normal as somple size increases. b) ☆ Normal lix== А 82 of - 6 GILE 0.697 V74