Statistics/Distributions/Student-t

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Student-t Distribution[edit]

Student’s t
Probability density function
Student t pdf.svg
Cumulative distribution function
Student t cdf.svg
Parameters ν > 0 degrees of freedom (real)
Support x ∈ (−∞; +∞)
PDF
CDF
where 2F1 is the hypergeometric function
Mean 0 for ν > 1, otherwise undefined
Median 0
Mode 0
Variance for ν > 2, ∞ for 1 < ν ≤ 2, otherwise undefined
Skewness 0 for ν > 3, otherwise undefined
Ex. kurtosis for ν > 4, ∞ for 2 < ν ≤ 4, otherwise undefined
Entropy ...
MGF undefined
CF for ν > 0

Student t-distribution (or just t-distribution for short) is derived from the chi-square and normal distributions. We divide the standard normally distributed value of one variable over the root of a chi-square value over its r degrees of freedom. Mathematically, this appears as:

where and .

External links[edit]