The random variable X has a gamma(ax, 3) distribution; ie X has pdf: g-le-z/B for a > 0 and 0 otherwise. T(α)3⁰ fx(x) Show all workings for full marks. X-aß (a) Determine the pdf of Z (fz(z)), using a transformation method used in this course. In your workings include the bounds of Z. Show all workings.

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Chapter1: Combinatorial Analysis
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The random variable X has a gamma(a, 3) distribution; ie X has pdf:
1ª-1-1/8
e
I(α) 3⁰
fx(x) =
Show all workings for full marks.
for a > 0 and 0 otherwise.
X-aß
(a) Determine the pdf of Z
(fz(z)), using a transformation method used in this
course. In your workings include the bounds of Z. Show all workings.
Transcribed Image Text:The random variable X has a gamma(a, 3) distribution; ie X has pdf: 1ª-1-1/8 e I(α) 3⁰ fx(x) = Show all workings for full marks. for a > 0 and 0 otherwise. X-aß (a) Determine the pdf of Z (fz(z)), using a transformation method used in this course. In your workings include the bounds of Z. Show all workings.
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Follow-up Question
(c) When a is large, the gamma distribution is well approximated by the normal distribution
with the same mean and variance. Using this result, determine 'by hand' the approximate
value of P (X < 45) where X gamma(25, 2). The result can be confirmed by RStudio
if desired.
Transcribed Image Text:(c) When a is large, the gamma distribution is well approximated by the normal distribution with the same mean and variance. Using this result, determine 'by hand' the approximate value of P (X < 45) where X gamma(25, 2). The result can be confirmed by RStudio if desired.
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Follow-up Question
(b) Determine the pdf of Y = ln X (fy (y)), using a transformation method used in this
course. In your workings include the bounds of Y. Show all workings.
Transcribed Image Text:(b) Determine the pdf of Y = ln X (fy (y)), using a transformation method used in this course. In your workings include the bounds of Y. Show all workings.
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