Chi Square Test
The Chi-Square test is used a way to check for homogeneity among groups. In particular chi-square tests are used in assignment help to show independence between data sets by assuming a chi-square distribution for the data. The distribution of chi-squares is like the square of a normal and is thus always positive and squared, thereby used to represent the distributions of variances and covariances. The chi-square test is actually a general test which is applied through Person’s chi-square test, Yate’s Chi-Square Test, McNemar’s Test for 2*2 contingency tables, Tukey’s Test of additivity, the portmanteau test of serial independence, and any likelihood ratio tests across various homework help provided by me daily.
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