Chi-square distribution

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search

In probability theory and statistics, the chi-square distribution (also chi-squared or   distribution) is one of the most widely used theoretical probability distributions. It is used in statistical significance tests. It is useful, because it is relatively easy to show that certain probability distributions come close to it, under certain conditions. One of these conditions is that the null hypothesis must be true. Another one is that the different random variables (or observations) must be independent of each other.

Probability density function
Chi-square distributionPDF.png
Cumulative distribution function
Chi-square distributionCDF.png
Parameters degrees of freedom
Probability density function (pdf)
Cumulative distribution function (cdf)
Median approximately
Mode if
Excess kurtosis
Moment-generating function (mgf) for
Characteristic function

Other websites[change | change source]