If a random variable u has t -distribution with n degree of freedom, find the
distribution of u^2.
Let s shows the sample standard deviation, "\\mu" shows the populaiton mean, "\\bar{x}" shows the sample mean, "\\sigma" is population standard deviation. and n+1 is sample size.
Chi sqaure distribution with (n-1) degree of freedom will be
"\\chi^{2}_{(n-1)}\\sim \\frac{s^{2}(n-1)}{\\sigma^{2}}"
Here we will use following relationships between the variables:
Relation between standard normal distribution Z and chi-sqaure distribution:
"Z^{2}\\sim \\chi^{2}_{1}"
Relation between F distribution and chi-sqaure distribution:
"F_{a,b}\\equiv \\frac{\\chi^{2}_{a}\/a}{\\chi^{2}_{b}\/b}"
The t-statistics with n degree of freedom will be
"t_{n}=\\frac{\\bar{x}-\\mu}{s\/\\sqrt{n+1}}=\\frac{\\bar{x}-\\mu}{\\sigma\/\\sqrt{n+1}}\\cdot \\frac{\\sigma}{s}=Z\\cdot \\frac{\\sigma}{s}=\\frac{Z}{\\sqrt{\\frac{s^{2}}{\\sigma^{2}}}}=\\frac{Z}{\\sqrt{\\frac{s^{2}(n)}{\\sigma^{2}(n)}}}=\\frac{Z}{\\sqrt{\\frac{\\chi^{2}_{n}}{n}}}"
"=\\frac{\\sqrt{\\frac{\\chi^{2}_{1}}{1}}}{\\sqrt{\\frac{\\chi^{2}_{n}}{n}}}"
Now squaring both sides gives:
"U=t^{2}_{n}=\\frac{\\frac{\\chi^{2}_{1}}{1}}{\\frac{\\chi^{2}_{n}}{n}}\\sim F_{1,n}"
Hence, "u^2" has F distribution.
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