![]() In hypothesis testing, critical values are one of the two approaches which allow you to decide whether to retain or reject the null hypothesis. □□ Want to learn more about critical values? Keep reading! This implies that if your test statistic exceeds 1.7531, you will reject the null hypothesis at the 0.05 significance level. ![]() The results indicate that the critical value is 1.7531, and the critical region is (1.7531, ∞). You have opted for a right-tailed test and set a significance level (α) of 0.05. The critical value calculator will display your critical value(s) and the rejection region(s).Ĭlick the advanced mode if you need to increase the precision with which the critical values are computed.įor example, let's envision a scenario where you are conducting a one-tailed hypothesis test using a t-Student distribution with 15 degrees of freedom. By default, we pre-set it to the most common value, 0.05, but you can adjust it to your needs. You can learn more about the meaning of this quantity in statistics from the degrees of freedom calculator. If you need more clarification, check the description of the test you are performing. ![]() If needed, specify the degrees of freedom of the test statistic's distribution. ![]() In the field What type of test? choose the alternative hypothesis: two-tailed, right-tailed, or left-tailed. In the first field, input the distribution of your test statistic under the null hypothesis: is it a standard normal N (0,1), t-Student, chi-squared, or Snedecor's F? If you are not sure, check the sections below devoted to those distributions, and try to localize the test you need to perform. To effectively use the calculator, follow these steps: The critical value calculator is your go-to tool for swiftly determining critical values in statistical tests, be it one-tailed or two-tailed. ![]()
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