Golden Gate University X GU Quiz 7 X Launch Meeting - Zoom X + od/quiz/attempt.php?attempt=659867&cmid=2004433 ARD GGU.EDU HELP MY COURSES - The Central Limit Theorem is important in statistics because Select one; Oa. For any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size. Ob. For any sized sample, It says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the distribution. Oc. As the sample size gets large enough, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. Question 2 Not yet answered Points out of 1.00 p Flag question Which of the following is true about the sampling distribution of the mean? Select one: Oa. The mean of the sampling distribution is always J. Ob. The standard deviation of the sampling distribution is always a. Oc, The shape of the sampling distribution of the mean is always approximately normal, regardless of the sample size. Question 3 Not yet answered Points out of 1.00 Flag question Suppose a sample of n = 25 items is selected from a population of manufactured products and the weight, X, of each item is recorded. Prior experience has shown that the weight has a probability distribution with = 6 ounces and o = 2.5 ounces. What is the standard error of the mean? Select one: Oa. 6 ounces. Ob. 2.5 ounces Oc 0.5 ounces Question 4 Not yet answered Points out of 1.00 p Flag question Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year. Suppose a sample of 100 major league players was taken. What was the standard error for the sample mean salary? Select one: Oa. 0.012 million Ob. 0.12 million Oc 12 million. MacBook Air F12 $