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Yates's correction should always be applied, as it will tend to improve the accuracy of the p-value obtained. [ citation needed ] However, in situations with large sample sizes, using the correction will have little effect on the value of the test statistic, and hence the p-value.
A particular example of this is the binomial test, involving the binomial distribution, as in checking whether a coin is fair. Where extreme accuracy is not necessary, computer calculations for some ranges of parameters may still rely on using continuity corrections to improve accuracy while retaining simplicity.
In this case, a better approximation can be obtained by reducing the absolute value of each difference between observed and expected frequencies by 0.5 before squaring; this is called Yates's correction for continuity.
Chi-squared distribution, showing χ 2 on the x-axis and p-value (right tail probability) on the y-axis.. A chi-squared test (also chi-square or χ 2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large.
Before performing a Yates analysis, the data should be arranged in "Yates' order". That is, given k factors, the k th column consists of 2 (k - 1) minus signs (i.e., the low level of the factor) followed by 2 (k - 1) plus signs (i.e., the high level of the factor). For example, for a full factorial design with three factors, the design matrix is
A U.S. watchdog is suing Capital One for allegedly misleading consumers about its offerings for high-interest savings accounts — and “cheating" customers out of more than $2 billion in lost ...
Aickin's α; Andres and Marzo's delta; Bangdiwala's B; Bennett, Alpert, and Goldstein’s S; Brennan and Prediger’s κ; Coefficient of colligation - Yule's Y; Coefficient of consistency
From January 2008 to December 2012, if you bought shares in companies when William Clay Ford joined the board, and sold them when he left, you would have a 92.0 percent return on your investment, compared to a -2.8 percent return from the S&P 500.