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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.
The Definition of the Limit In this section we will look at the precise, mathematical definition of three types of limits we'll be looking at the precise definition of limits
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