In mathematical statistics, Stat 100B, many test statistics are based on a gamma random variable that has parameter values 1 = 1/2 and α - n/2, the so called Chi-square random variable, or sums of Chi-square random variables. For statisticians, n is the number of data values they manage to get for their studies, the sample size. Suppose Y is a Chi-square random variable. What is the expected value and variance of Y? (a) n and 2n, respectively (b) 0 and 1, respectively (c) I(n/2) and Gamma(4) respectively (d) n/2 and n/4 respectively.

In mathematical statistics, Stat 100B, many test statistics are based on a gamma random variable that has parameter values 1 = 1/2 and α - n/2, the so called Chi-square random variable, or sums of Chi-square random variables. For statisticians, n is the number of data values they manage to get for their studies, the sample size. Suppose Y is a Chi-square random variable. What is the expected value and variance of Y? (a) n and 2n, respectively (b) 0 and 1, respectively (c) I(n/2) and Gamma(4) respectively (d) n/2 and n/4 respectively.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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