If the absolute value of the t- statistic exceeds critical value, the null hypothesis is rejected.

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This statement is true. When the absolute value of the t-statistic exceeds the critical value, it means that the likelihood of obtaining such a result by chance (under the assumption that the null hypothesis is true) is very low. As a result, we reject the null hypothesis and conclude that there is evidence of a significant difference or relationship between the variables being tested.

If the Absolute Value of the T- Statistic Exceeds Critical