Answer :
All of the cell Chi-Square values are added to provide the overall Chi-Square test statistic.
A statistical hypothesis test for contingency tables that are employed when the sample sizes are big is the chi-squared test. It is also known as the "χ² test" or chi-square. This evaluates how well a model matches up with actual observed data.
The formula to calculate this test is given by [tex]\chi^2 =\sum\frac{(O-E)^2}{O}[/tex] where the observed value is denoted by O and the expected value is denoted by E. By summing up the squares of the differences between the observed (O) and expected (E) values by the expected values, one may calculate the overall Chi-Square test statistic. Therefore, the blank can be filled with option d " adding".
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