In a 2 test the null hypothesis is rejected when the test st

In a 2 test the null hypothesis is rejected when the test statistic is ?

too large.

too small.

too large or too small.

Solution

The answer is OPTION A: TOO LARGE.

***************

This is so because the formula chi^2 = Sum[(O - E)^2/E] becomes so large if the observed value is way far from the expected, which is the null hypothesis.

Thus, we reject the null when chi^2 is TOO LARGE.