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One-Sample T Statistic Calculator

Compute t = (sample mean−reference mean)/(sample standard deviation/√n).

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Calculate one-sample t statistic online

Compute t = (sample mean−reference mean)/(sample standard deviation/√n). Use this for the specific transformation described above. Start with the fixed sample and compare its result before replacing it with your own representative input.

How to use it

Enter a value or text in the format shown in the example. Set reference mean. Choose Calculate. Review the output, then copy or download it.

Options and example settings

Option	Choices / value	Example default
Reference mean	Enter reference mean.	10

Worked examples

Use this for the specific transformation described above. Start with the fixed sample and compare its result before replacing it with your own representative input.

Reproducible worked example

Settings: Reference mean: 10

Input:

10,11,12,13,14

With the input and settings above, the tool produces:

Output:

{
  "t": 2.82842712474619,
  "degreesOfFreedom": 4,
  "sampleMean": 12
}

For this input, “t” is 2.82842712474619; “degreesOfFreedom” is 4; “sampleMean” is 12. These are the named fields in the example output.

Limitations and common mistakes

Statistic only; no p-value or hypothesis conclusion. Sampling and normality assumptions require separate assessment.
Combined input is bounded to 150,000 characters; output text is bounded to 1.2 million characters. Some algorithms impose smaller limits, stated in their error messages.

Frequently asked questions

What format should I enter?

Enter a value or text in the format shown in the example. The worked example shows the supported structure and actual output.

How can I compute one-sample t statistic online?

Enter a value or text in the format shown in the example. Set reference mean. Choose Calculate. Review the output, then copy or download it.

Where is my input processed?

The bundled tool processes input in your browser. It does not upload tool input to a conversion service. Other site plugins, analytics, advertising and browser extensions may have separate behavior.