0 Question 1 v According to the Central Limit Theorem, what will happen to the mean and standard deviation of the sampling distribution of the sample mean as the sample size increases? '13:} The mean will stay the same but the standard deviation will get smaller '13:} The mean will get bigger but the standard deviation will stay the same '3' The mean and standard deviation will stay the same '3' The mean and standard deviation will both get smaller . Question 2 v The Central Limit Theorem says that if you take repeated samples from a population that is: ""33 Normally distributed ""3 Exponentially distributed ""3 Uniformly distributed "'3' Geometrically distributed then the shape of the sampling distribution of sample means will be: '33:? Uniformly distributed '3' Exponentially distributed '3' Normally distributed '11:? Geometrically distributed . Question 3 v Far: 1 of 2 This problem has two parts. a. Suppose you take repeated samples of 30 people, calculate the mean age of each sample, and make a histogram of these sample means The graph would show the: '3' Normal sampling distribution '3' distribution of the sample of 30 ages '33 sampling distribution of the sample mean age from samples of size n = 30 '33:? Uniform sampling distribution