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In general terms, explain why a scientist would use the chi-square test as part of his...

In general terms, explain why a scientist would use the chi-square test as part of his or her data analysis. What important information does it provide?
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Chi square test is used by a scientist to detect that whether there is found significant difference between the expected and observee values.

In this case, the following formula is used :

(Observed- Expected)^2/Expected

We have taken the observed values which are found in the experiment and expected value are taken in standarisee conditions.

This test is important in an experiment to test the outcomes of an experiment that whether the results are appropriate or not. The difference in observed and expectee value are due to chance or really there is found difference between the values.

The scientist compares the chi square experimental value with the chi square value feom table to test the null hypothesis ( whivh is found to be under standardised conditions).

If the null hypothesis is less than chi square experimental value, then null hypothesis is accepted. And is it ia more than chi square value from table, then null hypothesis is rejected.

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