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Chi-square hypothesis tests as Non-parametric test(X2)
They contain amongst others
i. Test for goodness of fit
ii. Test for independence of attributes
iii. Test of homogeneity
iv. Test for population variance
The Chi-square test (χ2) is utilized while comparing an actual observed distribution along with a hypothesized or described distribution.
It is described by; χ2 = Σ(O - E)2/E Whereas O = Observed frequency
E = Expected frequency
The computed value of χ2 is compared along with that of tabulated χ2 for a given significance level and degrees of freedom.
different types of ellipse
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