chi-square distribution

British

/ ˈkaɪˌskwɛə /

noun

statistics a continuous single-parameter distribution derived as a special case of the gamma distribution and used esp to measure goodness of fit and to test hypotheses and obtain confidence intervals for the variance of a normally distributed variable

"Collins English Dictionary — Complete & Unabridged" 2012 Digital Edition © William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012

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chi-square distribution

The standard deviation of the chi-square distribution is twice the mean.

From Textbooks ● Sep. 19, 2013

The key characteristics of the chi-square distribution also depend directly on the degrees of freedom.

From Textbooks ● Sep. 19, 2013

Test statistics based on the chi-square distribution are always greater than or equal to zero.

From Textbooks ● Sep. 19, 2013

The random variable in the chi-square distribution is the sum of squares of df standard normal variables, which must be independent.

From Textbooks ● Sep. 19, 2013

If df = 2, the chi-square distribution has a shape that reminds us of the exponential.

From Textbooks ● Sep. 19, 2013

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