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    Joint Probabilities

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    Let Z be a standard normal random variable and let V have a chi-square distribution with n-degrees of freedom. Assume that Z and V are independent and let

    T = Z / √ (V/n)

    Find the density of T (The distribution of T is known as the t-distribution with n degrees of freedom.)

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    https://brainmass.com/statistics/probability/joint-probabilities-variables-11946

    Solution Preview

    Please refer to the attachment.

    A statistical distribution published by William Gosset in 1908. His employer, Guinness Breweries, required him to publish under a pseudonym, so he chose "Student." Given n independent measurements , let
    (1)
    where is the population mean, is the sample mean, and s is the estimator for population standard deviation (i.e., s=SQRT(V)) defined by (2)
    Student's t-distribution is defined as the distribution of the random variable t which is (very loosely) the "best" ...

    Solution Summary

    Let Z be a standard normal random variable and let V have a chi-square distribution with n-degrees of freedom. Assume that Z and V are independent and let

    Find the density of T (The distribution of T is known as the t-distribution with n degrees of freedom.)

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