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Why is it necessary to do a test of statistical significance, such as chi-square, before finalizing...

Why is it necessary to do a test of statistical significance, such as chi-square, before finalizing your decision about whether or not there appears to be a relationship between two variables?

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Answer #1

There are many cases where it seems that there is a relationship between two variables and we assume that there is a relationship.

It is possible that the relationship that we assumed, might not be statistically significant, i.e. this might be possible that the relationship is not possible on a large sample of data.

So, it is important to use statistical test like chi square or regression analysis to check whether there is a significant relationship in existence or its just by chance.

There are different statistical tests which we can ran based on the level of measurement of data that we are using to find the relationship, i.e. we can ran chi square, ANOVA, logistic regression, etc.

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