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 (χ^{2}) is utilized while comparing an actual observed distribution along with a hypothesized or described distribution.
It is described by; χ^{2} = Σ(O - E)^{2}/E Whereas O = Observed frequency
E = Expected frequency
The computed value of χ^{2} is compared along with that of tabulated χ^{2} for a given significance level and degrees of freedom.