chi-square test(redirected from Chi-square significance test)Also found in: Medical, Encyclopedia. chi-square test n. A test that uses the chi-square statistic to test the fit between a theoretical frequency distribution and a frequency distribution of observed data for which each observation ...
We previously noted the widespread occurrence in nature of the chi-square probability law . It was also found to describe the random behavior of the sample variance. Here we shall show how the chi-square law may be used to describe the state of "significance" of a set of data....
What is the meaning of the chi-square test? A chi-square test is a statistical test that can figure out if there is any statistical significance between categorical variables. It is used to determine if results are due to chance or due to some relationship between the studied variables. What...
The significance of each difference reported was calculated by the Chi-square test and the confidence limit is given in each case. FromProject Gutenberg In a fourfold table, the value of chi-square (14.7) is significant and indicates that the frequencies are not proportional. ...
The Chi-Square Test is the widely used non-parametric statistical test that describes the magnitude of discrepancy between the observed data and the data expected to be obtained with a specific hypothesis.
The Chi-Square Test of Significancedoi:10.1007/978-3-642-96732-0_11We previously noted the widespread occurrence in nature of the chi-square probability law. It was also found to describe the random behavior of the sample variance. Here we shall show how the...B. Roy Frieden...
THE CHI-SQUARE TEST OF SIGNIFICANCE APPLIED TO A SERIES OF INTRA-CAPSULAR CATARACT EXTRACTIONS http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1143261 Riddell,W. J. B. - 《British Journal of Ophthalmology》 被引量: 0发表: 1941年 Your chi-square test is statistically significant: ...
How do you interpret a chi-square test? For a Chi-square test, a p-value that is less than or equal to the specified significance level indicates sufficient evidence to conclude that the observed distribution is not the same as the expected distribution. Here, we can conclude that a relatio...
In significance testing, it is of great importance that the null model is formed under reasonable assumptions and that it gives an accurate description of the process studied. If the model is formed under invalid assumptions, a test may be conservative or anti-conservative, meaning that too few...
DateSat, 26 Mar 2011 09:37:17 -0700 (PDT) Follow-Ups: st: Re: Chi-square test for the joint significance of slope coefficients From:Khabara <kirphantom@yandex.ru> References: st: Chi-square test for the joint significance of slope coefficients ...