4. Understanding the sampling distribution of M You are interested in estimating the mean of a population. You plan to take a random sample from the population and use the sample's mean as an estimate of the population mean. Assuming that the population from which you select your sample is not normal, which of the statements about M are true? Check all that apply. You can only assume that the sampling distribution of M is normally distributed for sufficiently large sample sizes. The sampling distribution of the z-score of M is normal for any sample size. The standard deviation of the sampling distribution of M is equal to the standard deviation of the population divided by the square root of the sample size. You can assume that the sampling distribution of M is normally distributed for any sample size