Question 15: (1 Point) Question 16: (1 Point) 1 Question 17: i (1 Point) The variance dened as (x - m)2I(n - 1) estimates 02 estimates the unbiased parameter estimates a is a biased statistic The central limit theorem states that the distribution of means will not be normal if the population is skewed x" the distribution of means will be normal if the population of scores is normal the distribution of means will not be normal if the population is leptokurtic " the distribution of means will have a biased standard error A sampling distributions Is '7 a probability distribution of all possible values of a sample mean for sample size n A a probability distribution of all possible values of the sample mean derived from samples of the same size 'A a normal distribution of samples of the same size A a probability distribution of all possible values of a sample statistic derived from samples of the same size Question 11: Some sampling distributions are not normal distributions. (1 Points) True O False Question 12: 02 = 02 is the standard error of the mean. (1 Points) True False Question 13: Strictly speaking, the central limit theorem requires sampling with replacement. (1 Points) True False Question 14: The standard error of the mean is V s2/ n (1 Points) True O FalseQuestion 4: If a population has a mean of 10 and standard deviation of 100 and follows a rectangular distribution, then the sampling distribution of the mean will be a normal distribution when sample size is n = 5. (1 Points) O True O False Question 5: If a leptokurtic distribution has a mean of 88 and standard deviation of 0.15, then, for the purposes of this course, we will assume that the sampling distribution of the mean will be a normal distribution (1 Points) when sample size is n = 25. True O False Question 6: The distribution of means is a probability distribution of all possible sample means computed from samples of the same size, drawn from the same sample. (1 Points) True False