application of the chi square test the
Application of the chi Square Test
The chi square distribution has a number of applications are given below:
a.Chi Square test of goodness of fit.
b.Chi square test for independence of attributes and.
c. Chi square test as a test of Homogeneity.
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assumption of f- testthe theoretical assumption on which f test is based are1the populations for each sample must be normally
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1what is the difference between a photon and a neutron 2why are they
chi square test x2 chi square test defined the chi square test is one simplest and most commonly used non parametric tests in
application of the chi square test the chi square distribution has a number of applications are given belowachi square test of
chi square test goodness of fitchi square test can be used to find out how well the theoretical distribution fit with the
chi square test for independence of attribute the chi square test can be used to find out whether two or more attributes are
yates correction for continuity for 2x 2tables if any cell frequency in 2x 2 table isles than 5thenfor the application of x2 test it
chi square test as a test of homogeneitthe x2 test of homogeneity is an extension of the chi square test of independence of attributes it
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