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Chi-square test - Wikipedia, the free encyclopedia
A chi-square test (also chi-squared or \chi^2 test ) is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-square distribution when the null h...
en.wikipedia.org/wiki/Chi-square_test |
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Fisher's exact test - Wikipedia, the free encyclopedia
Fisher's exact test is a statistical significance test used in the analysis of contingency tables where sample sizes are small. It is named after its inventor, R. A. Fisher, and is one of a class of ...
en.wikipedia.org/wiki/Fisher's_exact_test |
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Dictionary: chi-square test ... We would therefore conclude that the observed difference in the proportions is unlikely to be explained by chance alone, and consider this result statistically significant.
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The Chi-Square Test ... Each term entering into χ2 is assumed to be the square of a normally-distributed variate, which is usually quite close to the truth. The theory, which is relatively simple and straightforward, is explained in Weatherburn.
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The chi-square test statistic can be used to evaluate whether there is an association between the rows and columns in a contingency table. More specifically, this statistic can be used to determine ... We would therefore conclude that the observed difference in the proportions is unlikely to be explained by chance alone,
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Chi Square Test for independence of attributes ... Solution to the posted question is given Step by Step using the required procedure, formulas and Explained in simple way such that the student could understand the procedure and use this solution to solve other similar problems.
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PowerBASIC Forums; Source Code; Spin control used for input for Chi-square test ... " (the probability that this difference can be explained by random factors alone). "+ _; "If the P-value is small say less than 0.05 or 5%, "+ _; "then the difference is said to be statistically significant."+$CRLF+ _;
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