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Inverse T-Distribution Calculator

The t value for a given tail probability and degrees of freedom — the number behind every confidence interval built from a small sample.

The t distribution has heavier tails than the normal, and how much heavier depends on the degrees of freedom.

%
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Results
t value
2.085963
Normal equivalent
How much wider than the normal
Degrees of freedom
Sample size this implies (one-sample)
Equivalent confidence level
Reviewed September 2026. Pure mathematics: the result does not depend on where you are. Terminology follows the national curriculum (maths, brackets, decimal point).
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About inverse t-distribution

How the inverse t-distribution calculator works

The t distribution has heavier tails than the normal, and how much heavier depends on the degrees of freedom. This inverts its CDF by bisection, so any α and any df work.

At 1 df the 95% two-tailed value is 12.71; at 10 df it is 2.23; at 1,000 it is 1.962, essentially the normal's 1.960. The extra width is what a small sample costs.

Formula: t such that P(|T| > t) = α

Worked examples

Inputst valueNote
5% two-tailed, 20 df2.085963t = 2.086
A tiny sample12.706205t = 12.71 — enormous
A large sample1.960201t = 1.960, indistinguishable from z

Frequently asked questions

What is the t distribution for?

Inference when the standard deviation is estimated from the sample rather than known. Its heavier tails pay for that extra uncertainty.

How many degrees of freedom do I have?

n − 1 for a one-sample test, n₁ + n₂ − 2 for a pooled two-sample test, n − k − 1 for a regression with k predictors.

When can I just use 1.96?

Above about 30 df the difference is under 4%, and above 100 it is under 1%. Below 10 it matters a great deal.

Why is t so large at 1 df?

With one degree of freedom it becomes the Cauchy distribution, whose tails are so heavy it has no mean at all.

Is this the same as a t-table?

Yes, but continuous — a printed table gives a handful of α and df values; this inverts the distribution for any pair.

Where these figures come from

Last checked: September 2026. Formulas are fixed by mathematics and do not change with tax years or regulations.