T-Score Calculator
Compute the one-sample t-statistic.
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Introduction
T-Score Calculator — Compute the one-sample t-statistic. Enter Sample mean, Population mean, Sample std. deviation, Sample size to get an instant, accurate result.
Formula
One-sample t-statistic: t = (sample mean − population mean) / (sample standard deviation / √n).
Step-by-step
- Enter the Sample mean.
- Enter the Population mean.
- Enter the Sample std. deviation.
- Enter the Sample size.
- Click Calculate to see your result instantly.
Real-world example
Example: With Sample mean = 52, Population mean = 50, Sample std. deviation = 5, Sample size = 25, the T-Score Calculator gives T Score: 2.
Frequently Asked Questions
What is the t-score used for?
It measures how many standard errors your sample mean is from a hypothesized population mean, commonly used in one-sample t-tests.
How is this different from a z-score?
A t-score is typically used when the population standard deviation is unknown and estimated from the sample, and it accounts for sample size via degrees of freedom when compared against a t-distribution.
What inputs does the T-Score Calculator need?
You'll need to provide: Sample mean, Population mean, Sample std. deviation, Sample size. All fields use sensible defaults, so you can see a working example immediately and then adjust the values to match your own numbers.
How accurate is the T-Score Calculator?
The T-Score Calculator applies the formula exactly as calculated — One-sample t-statistic: t = (sample mean − population mean) / (sample standard deviation / √n). — so results are precise for the inputs you provide. Accuracy depends on entering correct, realistic input values.
Is the T-Score Calculator free to use?
Yes, the T-Score Calculator is completely free, requires no signup, and runs instantly in your browser.
About the T-Score Calculator
The T-Score Calculator uses a real, verifiable formula — One-sample t-statistic: t = (sample mean − population mean) / (sample standard deviation / √n). — so results are accurate every time, not an approximation.