chi-square test

(redirected from Chi-squared test)
Also found in: Dictionary, Medical, Wikipedia.

chi-square test:

see statisticsstatistics,
science of collecting and classifying a group of facts according to their relative number and determining certain values that represent characteristics of the group.
..... Click the link for more information.
.

chi-square test

[′kī ¦skwer ′test]
(statistics)
A generalization, and an extension, of a test for significant differences between a binomial population and a multinomial population, wherein each observation may fall into one of several classes and furnishes a comparison among several samples instead of just two.
References in periodicals archive ?
Factors Affecting Gastrointestinal Haemorrhage, Results of Chi-Squared Test
Changes in resistance trends over time were assessed with chi-squared tests using Stata 10.
The numbers of wet and dry days for 1999-2008 are again predicted and compared to actual data via the chi-squared test, this time finding no significant variation.
For this set of data, you might use a chi-squared test to find out if these four groups are the same.
A fundamental assumption of the chi-squared test is that the cases one is studying are independent of one another.
Statistical calculations will be done by help of Chi-squared test with degree of significance <5%.
Fall 2000 and fall 2001 road surveys were compared using a chi-squared test and found to have the same distribution (p>0.
A chi-squared test for independence was used to compare the percent of yellow, green, and brown leaves for the broccoli and lettuce seedlings for each extract.
The author has organized the main body of her text in nine chapters devoted to sampling strategies to eliminate confounding, sample size calculations, chi-squared tests, robust statistics, continuous distributions, tests for normality, and a wide variety of other related subjects.
Topics include Pearson's Sum and Pearson-Fisher test, modifications based on UMVUEs, vector-valued tests, probability distributions of interest, and chi-squared tests for specific distributions.
Chi-squared tests will be performed to determine if the observed number of plants with a particular phenotype equals the expected for independent assortment indicating whether or not the gps loci is linked to that particular trait.