T Test Calculator
Calculate the t-statistic and p-value for an independent two-sample t-test assuming equal variances. Enter sample data to compare means.
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How to Use the T-Test Calculator
This calculator performs an independent two-sample t-test (equal variances assumed) to compare the means of two groups.
- Enter Sample 1 Values: Type your first set of numbers separated by commas (e.g.,
5, 7, 8, 6, 9). At least two values are required. - Enter Sample 2 Values: Type your second set of numbers separated by commas (e.g.,
4, 6, 7, 5, 8). At least two values are required. - Select Significance Level (α): Choose your alpha level (default is 0.05). Options: 0.01, 0.05, or 0.10.
- Click "Calculate": Press the button to run the test.
Results explained:
- t-statistic: The test statistic value. Larger absolute values indicate stronger evidence against the null hypothesis.
- Degrees of Freedom: Total sample size minus 2 (n1 + n2 - 2).
- p-value (two-tailed): Probability of observing the data if the means are equal. If p < α, reject the null hypothesis (significant difference).
Note: Values must be numeric. Commas separate each value. No spaces needed.
Previous Results
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Frequently Asked Questions
A t-test is a statistical test used to compare the means of two groups to determine if they are significantly different from each other.
The p-value indicates the probability of observing the data given that the null hypothesis (no difference) is true. A low p-value (< alpha) suggests rejecting the null hypothesis.
This calculator assumes independent samples, equal variances, and normally distributed data. Use Welch's t-test if variances are unequal.