,,_. This question: 1 pointis) possible Submit qutz Asimple random sample of size n = 37 is obtained from a population that is skewed left with p = 71 and o = a. Does the population need to be normally distributed for - Ch' the sampling distribution of x to be eppioximetoiy normally distributed? Why? What is the sampling distribution of i? 1 of 2 Does the population need to be normally distributed for the sampling distribution of in be approximately normally distributed? WhY? 2 of2 O A. Yes. The central limit theorem states that the sampling variability of nonnorrnal populations will increase as the sample size increases. W1 of 2 O 3- Yes. The central limit theorem states that only for underlying populations-that are normal is the shape of the sampling distribution of i normal. regardless of the 7 sample size, n. V ' ' Ch] 0 0- NOuThe central limit theorem states that only it the shape of the underlying population is normal or uniform does the sampling distribution of i become 1 on t approximately normal as the sample size, n, increases. . O D- No. The central limit theorem states that regardless of the shape of the underlying population, the sampling distribution of; becomes approximately normal as 0 f2 the sample size, n, increases. ' o ' .. \\ What Is the sampling distribution of it? Select the correct choice below and ll in the answer boxes within your choioe. ' 9 . Ch' (Type integers or decimals rounded to three decimal places as needed.) 0 of2 , O A The sampling distribution of i is skewed left. with "2': = [I and o; = D. _ ' 7 . . . . - . . 0 of2 10. ' O 3- Thesampling distribution ofx is uniform With \"2': = D and a; = D. h 0 C. The sampling distribution of i is approximately normal with p; = I] and \"i =|:|. ' O D The shape of the sampling distribution of i is unknown wilh \"i = D and