Take a Test - Marques Woodward - Mozilla Firefox O B https://www.mathxl.com/Student/PlayerTest.aspx?testld=230283185¢erwin=yes Math134 F21 Marques Woodward & | 11/19/21 10:49 =Test: Exam(3) Question 1 of 17 This test: 84 point(s) possible This question: 6 point(s) possible Submit test A simple random sample of size n =52 is obtained from a population with u= 74 and o= 4. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of x? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? A. No because the Central Limit Theorem states that only if the shape of the ormal or uniform does the sampling distribution of x become approximately normal as the sample size, n, increases. O B. Yes because the Central Limit Theorem states that only for underlying populat ation of x normal, regardless of the sample size, n. O C. Yes because the Central Limit Theorem states that the sampling va ple size increases. O D. No because the Central Limit Theorem states that regardless of the sha of the underlying population, the sampling distribution of x becomes approximately normal as the sample size, n, increases. What is the sampling distribution of x? Select the correct choice below and fill 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 uniform with u- = and a- = O B. The sampling distribution of x follows Student's t-distribution with u- = and ox = O C. The sampling distribution of x is normal or approximately normal with u = and ox = O D. The sampling distribution of x is skewed left with ux = and ox = Time Remaining: 01 09 16 Next Statcrunch Calculator 10:49 PM Type here to search O 61.F ~ 4) 19/19/2021