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The critical value of t for a two-tailed test with 14 degrees of freedom using = 0. 5 is ±164.5577.
In hypothesis testing, critical values are one of the two approaches which allow you to decide whether to retain or reject the null hypothesis.
The critical value approach consists of checking if the value of the test statistic generated by your sample belongs to the so-called rejection region, or critical region, which is the region where the test statistic is highly improbable to lie. A critical value is a cut-off value (or two cut-off values in case of a two-tailed test) that constitutes the boundary of the rejection region(s). In other words, critical values divide the scale of your test statistic into the rejection region and non-rejection region.
To determine critical values, you need to know the distribution of your test statistic under the assumption that the null hypothesis holds. Critical values are then the points on the distribution which have the same probability as your test statistic, equal to the significance level α. These values are assumed to be at least as extreme at those critical values.
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