Example 1: Two-tailed t-test, t = 2.0, df = 10
Test Statistic: 2; Degrees of Freedom (for t-tests and chi-squared tests): 10; Type of Test: Two-tailed
P-value: 0.05
Calculates the probability of observing a test statistic as extreme as, or more extreme than, the one calculated, assuming the null hypothesis is true.
Start with your values, or try a preset.
Enter Test Statistic, Degrees of Freedom (for t-tests and chi-squared tests), and Type of Test in the units shown.
Read P-value in the results panel. Results update as you change the inputs.
Choose a preset to load an example, then adjust the values for your situation.
See the inputs and their calculated results.
Test Statistic: 2; Degrees of Freedom (for t-tests and chi-squared tests): 10; Type of Test: Two-tailed
P-value: 0.05
Test Statistic: 1.5; Degrees of Freedom (for t-tests and chi-squared tests): 20; Type of Test: One-tailed (right)
P-value: 0.025
Test Statistic: -2.5; Degrees of Freedom (for t-tests and chi-squared tests): 15; Type of Test: One-tailed (left)
P-value: 0.025
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