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?

Yes, you can set the decimal precision between 0 and 10 places to match your reporting requirements.

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T-Test Calculator

Run one-sample or two-sample t-tests from raw data and inspect t statistics, degrees of freedom, and p-values

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Test whether a sample mean differs from a target

Run a one-sample t-test to compare observed values against a hypothesized benchmark mean

{"result":{"tStatistic":2.6726,"degreesOfFreedom":5,"pValue":0.0443,"sampleMean":14.1667,"meanDifference":1.1667}}

Compare two independent sample means

Run a pooled two-sample t-test to assess whether two groups have different average outcomes

{"result":{"tStatistic":3.6734,"degreesOfFreedom":8,"pValue":0.0031,"meanDifference":6.8,"sampleMeanA":85.8,"sampleMeanB":79}}

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ContentPaste or type the main input values.3

Sample AtextareaOptionalSample B (Optional)textareaOptionalHypothesized MeantextOptional

SettingsAdjust formats, ranges, numbers, and modes.3

Test TypeselectOptionalAlternative HypothesisselectOptionalDecimal PrecisionnumberOptional

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