Question

Suppose Y is a random variable with ​= 0, and ​= 1, skewness​ = 0, and kurtosis​ = 100. Explain why n random variables drawn from this distribution might have some large outliers. A. There might be some outliers because the skewness of the distribution equals 0. B. There might be some large outliers because​ both, the population variance and standard deviation ​, are equal to 1. C. There might be some outliers because the kurtosis of the distribution equals 100. D. There might be some large outliers because the population equals 0.

Answer 1

Answer:

C. There might be some outliers because the kurtosis of the distribution equals 100.

Step-by-step explanation:

Kurtosis is about the tail of the distribution. High kurtosis means that the data is heavily in the tails or outliers. The kurtosis of the distribution is 100 means there are outliers and the data lies in the tails. The skewness of the data set is determined by the outliers.