a. The event {X2 ¤ y} is equivalent to what event involving X itself? b. If X
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b. If X has a standard normal distribution, use part (a) to write the integral that equals P(X2 ¤ y). Then differentiate this with respect to y to obtain the pdf of X2 [the square of a N (0, 1) variable]. Finally, show that X2 has a chi-squared distribution with ν = 1 df [see (4.10)]. [Use the following identity.]
Distribution
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Probability And Statistics For Engineering And The Sciences
ISBN: 9781305251809
9th Edition
Authors: Jay L. Devore
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