A chi-squared random variable with ν > 0 degrees of freedom (χv2) has mgf M(t) = (1 − 2t) −ν/2 . Given that Z2 ∼ χ21, derive the mean and variance of Z2 using M(t). Confirm these results using the mgf of Z, namely MZ(t) = e1/2t2 .

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.1: Measures Of Center
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A chi-squared random variable with ν > 0 degrees of freedom (χv2) has mgf M(t) = (1 − 2t) −ν/2 . Given that Z2 ∼ χ21, derive the mean and variance of Z2 using M(t). Confirm these results using the mgf of Z, namely MZ(t) = e1/2t2 .

A chi-squared random variable with v> 0 degrees of freedom (x²) has mgf M(t) =
(1 - 2t)-¹/2. Given that Z² ~ x², derive the mean and variance of Z² using M(t).
Confirm these results using the mgf of Z, namely Mz(t)
=
ezt²
=
Transcribed Image Text:A chi-squared random variable with v> 0 degrees of freedom (x²) has mgf M(t) = (1 - 2t)-¹/2. Given that Z² ~ x², derive the mean and variance of Z² using M(t). Confirm these results using the mgf of Z, namely Mz(t) = ezt² =
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