# T-Test Calculator Run one-sample or two-sample t-tests from raw data and inspect t statistics, degrees of freedom, and p-values > Canonical page: https://elysiatools.com/en/tools/t-test-calculator - **Category:** Math & Numbers - **Keywords:** t test, hypothesis test, mean comparison, p value, statistics, calculator ## Overview The T-Test Calculator allows you to perform statistical hypothesis testing on your raw data to determine if there is a significant difference between group means. Whether you are comparing a single sample against a known benchmark or evaluating the difference between two independent groups, this tool provides precise t-statistics, degrees of freedom, and p-values to support your data-driven decisions. ## Inputs - **Test Type** (select) - **Sample A** (textarea): Enter numbers separated by commas, spaces, or new lines - **Sample B (Optional)** (textarea): Required for two-sample t-test - **Hypothesized Mean** (text): Required for one-sample t-test - **Alternative Hypothesis** (select) - **Decimal Precision** (number) ## When to use - When you need to determine if a sample mean significantly differs from a specific target value. - When comparing the averages of two independent groups to see if the difference is statistically significant. - When conducting academic or business research that requires hypothesis testing and p-value validation. ## How it works - Select your test type: 'One-Sample' for comparing against a target, or 'Two-Sample' for comparing two groups. - Input your raw data into the sample fields, using commas, spaces, or new lines to separate values. - Specify your alternative hypothesis (two-tailed, greater than, or less than) and set your desired decimal precision. - Click calculate to generate the t-statistic, degrees of freedom, and p-value based on your provided data. ## Use cases - Validating if a new manufacturing process produces parts with a different average weight than the standard. - Comparing test scores between two different classrooms to see if one teaching method is more effective. - Analyzing customer survey data to see if satisfaction scores meet a specific internal performance benchmark. ## Frequently asked questions ### What is the difference between a one-sample and two-sample t-test? A one-sample t-test compares a single group's mean to a known or hypothesized population mean, while a two-sample t-test compares the means of two independent groups. ### What does the p-value indicate? The p-value helps you determine the significance of your results. A low p-value (typically below 0.05) suggests that the observed difference is unlikely to have occurred by chance. ### How should I format my input data? You can enter your numbers separated by commas, spaces, or by placing each number on a new line. ### What is the 'Alternative Hypothesis' setting? This defines the direction of your test: 'Two-Tailed' checks for any difference, while 'Greater Than' or 'Less Than' checks for a specific directional difference. ### Can I adjust the precision of the output? 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