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T Critical Value Calculator

Your test setup

Need a level that is not listed? Choose “Custom” and type any confidence level below.

For a one-sample t-test or a confidence interval for one mean, df = sample size − 1.

Two-tailed is the usual choice for a confidence interval. One-tailed is used when the test only looks in one direction.

t critical value (t*)
2.228
95% confidence · two-tailed · df = 10
Confidence level95%
Degrees of freedom10
Tail typeTwo-tailed
z-value (normal, same level)1.960
Alpha (α)0.05
The calculation
P(−2.228 < T < 2.228) = 0.95, df = 10
t* = 2.228

With 10 degrees of freedom, a sample mean more than 2.228 standard errors from the null value falls outside the 95% confidence interval. The matching z-value is 1.960 — the t-value is larger because a small sample carries more uncertainty.

Example: 95% confidence, two-tailed, df = 10 — t* = 2.228 (the matching z-value is 1.960).

Behind the numbers

How the t critical value is calculated

The t critical value t* is the point on the t-distribution with the chosen degrees of freedom that leaves the confidence level in the middle (two-tailed) or below it (one-tailed). For a two-tailed 95% interval, 2.5% of the area sits in each tail, so t* is the 97.5th percentile of the t-distribution. This calculator finds it exactly by inverting the t cumulative distribution function, which is built from the regularized incomplete beta function — no rounded table lookup.

The formula
t* = F&supminus;¹ (1 − α/2)  ·  two-tailed

where F is the CDF of the t-distribution with df degrees of freedom and α = 1 − confidence level. Worked example: 95% two-tailed with df = 10 means α = 0.05, so t* is the 97.5th percentile of the t-distribution with 10 degrees of freedom: t* = 2.228. The matching normal (z) value is 1.960, and the gap between 2.228 and 1.960 is the extra uncertainty from a sample of only 11 observations.

Worked examples

Example t critical values

ConfidenceTailsdft*z-value
95%Two-tailed102.2281.960
95%Two-tailed242.0641.960
99%Two-tailed302.7502.576
90%Two-tailed101.8121.645
98%Two-tailed152.6022.326
95%Two-tailed52.5711.960

As the degrees of freedom grow, t* moves closer to the z-value: at df = 100 the 95% two-tailed t* is 1.984, and at df = 1,000 it is 1.962 — almost the z-value of 1.960.

Using t* the right way

01

For a confidence interval for one mean, df = n − 1. A sample of 11 gives df = 10 and a 95% t* of 2.228 — wider than the z-interval because the sample standard deviation is itself an estimate.

02

Two-tailed is the default for confidence intervals and for most t-tests. Switch to one-tailed only when your test has a stated direction before you see the data.

03

Compare t* with the z-value in the result card: the gap between them shows how much extra uncertainty a small sample adds. Past df = 30 the gap is small, and past df = 100 it is barely noticeable.

04

Do not round t* early. A rounded t* of 2.23 instead of 2.228 changes a confidence interval only slightly, but rounding to 2.2 can matter in a small-sample test.

Good to know

Your t critical value questions, answered.

What is a t critical value?

A t critical value, written t*, is the cutoff on a t-distribution that leaves a chosen share of the area in the middle (two-tailed) or below it (one-tailed). For example, with 10 degrees of freedom the two-tailed 95% critical value is 2.228, so 95% of the t-distribution with 10 degrees of freedom lies between -2.228 and 2.228.

When do I use a t critical value instead of a z critical value?

Use a t critical value when the population standard deviation is unknown and you estimate it from a sample, which is the usual case in t-tests and confidence intervals for a mean. Use a z critical value when the population standard deviation is known, or when the sample is so large that the t-distribution is almost identical to the normal distribution.

What are degrees of freedom?

Degrees of freedom measure how much independent information is in your sample. For a one-sample t-test or a confidence interval for one mean, degrees of freedom equal the sample size minus 1 (df = n - 1). Smaller samples have fewer degrees of freedom and larger critical values, because there is more uncertainty.

How do I read a t-table with this calculator?

Pick your confidence level, enter the degrees of freedom and choose two-tailed or one-tailed, and the calculator gives the exact t* value instead of a rounded table entry. For instance, 95% two-tailed with 24 degrees of freedom gives t* = 2.064, and 99% two-tailed with 30 degrees of freedom gives t* = 2.750.