Student t-distribution arises when estimating the mean of a normally distributed population in situations where the sample size is small, and population deviation is unknown. William Sealy Gosset developed the distribution at the beginning of the XX century, who published his works under the pseudonym Student.
Probability density function
Probability density function has the following form:
where n - is degrees of freedom and - Gamma function
Cumulative distribution function
Cumulative distribution function can be expressed using Gamma and hypergeometric function:
-quantile Student is a number which conforms to , where Fn - Student-t cumulative distribution function.
Inverse cumulative distribution function (quantile function) doesn't have a simple form; commonly, we use pre-calculated values from the tables published by Gosset and other researchers.
The following calculator approximates quantile function value with the aid of the jStat statistics package:
- • Log-normal distribution
- • Binomial distribution, probability density function, cumulative distribution function, mean and variance
- • Normal distribution
- • Hypergeometric Distribution. Probability density function, cumulative distribution function, mean and variance
- • Geometric Distribution. Probability density function, cumulative distribution function, mean and variance
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