Unformatted text preview: 2 β )α(1β )2 α . 3. Textbook page 235, 4.4.20 4. Let Z 1 ,Z 2 ,...,Z 5 be i.i.d. N (0 , 1). Let Z = 1 5 ∑ 5 i =1 Z i . Let Z 6 be another independent observation from the same population N (0 , 1). What is the distribution of • X 1 = ∑ 5 i =1 Z 2 i . • X 2 = ∑ 5 i =1 ( Z iZ ) 2 + Z 2 6 . • X 3 = √ 5 Z 6 / q ∑ 5 i =1 Z 2 i . • X 4 = 2(5 Z 2 + Z 2 6 ) / ∑ 5 i =1 ( Z iZ ) 2 . 1...
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 Spring '08
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 Insurance Claims, probability density function, joint density, Konrad Zuse, Let Y1, density function fY1

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