chi-square

American  

[kahy-skwair] / ˈkaɪˌskwɛər /

noun

Statistics.

1. a quantity equal to the summation over all variables of the quotient of the square of the difference between the observed and expected values divided by the expected value of the variable.

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chi-square Scientific  

/ kī′skwâr′ /

1. A test statistic that is calculated as the sum of the squares of observed values minus expected values divided by the expected values.

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Etymology

Origin of chi-square

First recorded in 1935–40

Example Sentences

See Examples For:

chi-square

You use a chi-square test, meaning the distribution for the hypothesis test is chi-square, to determine if there is a fit.

From Textbooks ● Mar. 27, 2020

What is the chi-square test statistic and the p-value?

From Textbooks ● Mar. 27, 2020

When df > 90, the chi-square curve approximates the normal distribution.

From Textbooks ● Sep. 19, 2013

If the expected and observed values are not close together, then the test statistic is very large and way out in the right tail of the chi-square curve, as it is in a goodness-of-fit.

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