Use the Moment Generating Function (MGF) to show that the square of a standard normal random variable, Z~ N(0, 1), is a chi-squared random variable with 1 degree of freedom, Y = Z² ~ x. (Recall that the probability density function of Z N (0, 1) is f(2)=√e and the MGF of X ~ X² is Mx (t) = (1 — 2t)-¹/²).
Use the Moment Generating Function (MGF) to show that the square of a standard normal random variable, Z~ N(0, 1), is a chi-squared random variable with 1 degree of freedom, Y = Z² ~ x. (Recall that the probability density function of Z N (0, 1) is f(2)=√e and the MGF of X ~ X² is Mx (t) = (1 — 2t)-¹/²).
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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![Use the Moment Generating Function (MGF) to show that the square of a standard
normal random variable, Z N(0, 1), is a chi-squared random variable with 1 degree of
freedom, Y = Z² ~ x². (Recall that the probability density function of Z
f(2)=e-² and the MGF of X X2 is Mx (t) = (1 – 2t)−¹/²).
N(0, 1) is
е](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3011c556-643e-4a01-b0e0-55d8cf24eddf%2F07a2a010-d9ad-4859-89fe-45882606f6ab%2Fuww1b6g_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Use the Moment Generating Function (MGF) to show that the square of a standard
normal random variable, Z N(0, 1), is a chi-squared random variable with 1 degree of
freedom, Y = Z² ~ x². (Recall that the probability density function of Z
f(2)=e-² and the MGF of X X2 is Mx (t) = (1 – 2t)−¹/²).
N(0, 1) is
е
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