t-Distribution

Areas (tcdf) and critical values (invT) for Student's t-distribution.

Inputs

I want to find
Area

Results update as you type.

Results

P(t < 2.145) = 0.9750

About 97.50% of values fall below 2.145.

t-distribution (df = 14) curve. About 97.50% of values fall below 2.145. The shaded area is 0.9750.−4−2024

Results

P(t < 2.145)0.9750

On the TI-84

2nd VARS (DISTR) → 6:tcdf(lower, upper, df).

tcdf(-1E99, 2.145, 14)

Show steps
  1. Area. The shaded area under the t-distribution (df = 14) curve is 0.9750.

About this calculator

What the t-distribution is for

When you estimate a mean and have to use the sample standard deviation s instead of σ, the standardized sample mean follows a t-distribution rather than the standard normal. It is bell-shaped and centered at 0 but has thicker tails, so cutoffs are a little farther out than z cutoffs.

The shape depends on the degrees of freedom; for one sample, df = n − 1. As df grows, the t-distribution gets closer and closer to the standard normal.

Common use

For a 95% confidence interval, the critical value t* is the cutoff with a middle area of 0.95. Choose "A value (cutoff)" and "Middle area" above.