Which statement is true? (a). You take a sample of 100 houses and plot the distribution of house prices. This distribution is called the "sampling distribution of the sample mean". (b). The sampling distribution has less variability than the population distribution. (c). The Central Limit Theorem does not apply if the population distribution is highly skewed. (d). Law of large numbers is related to the location of sample mean as the sample size grows large but the central limit theorem describes the shape of the sampling distribution of the sample mean. (e). None of the above. (f). (b) and (d). Which statement is true? (a). You take a sample of 100 houses and plot the distribution of house prices. This distribution is called the "sampling distribution of the sample mean". (b). The sampling distribution has less variability than the population distribution. (c). The Central Limit Theorem does not apply if the population distribution is highly skewed. (d). Law of large numbers is related to the location of sample mean as the sample size grows large but the central limit theorem describes the shape of the sampling distribution of the sample mean. (e). None of the above. (f). (b) and (d)