For a two-tail test with a given level of significance $\alpha$,you reject the null hypothesis if the calculated t test statistic is less than the upper-tail critical value tn-1 from the t distribution.

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In a two-tail test, you reject the null hypothesis if the absolute value of the calculated t-test statistic is greater than the critical value from the t distribution, not just if it is less than the upper-tail critical value. You look at both tails of the distribution for potential rejection regions.

For a Two-Tail Test with a Given Level of Significance α\alphaα

For a Two-Tail Test with a Given Level of Significance $\alpha$