Critical value calculator
Free online critical value calculator for the four distributions used in nearly every hypothesis test: the normal distribution (z critical value), Student's t distribution (t critical value), the chi-square distribution and the F distribution. Pick the distribution, enter its parameters and the significance level α, and the calculator returns the critical value(s), the rejection region drawn on an interactive chart, a step-by-step calculation, and the equivalent R and Excel code.
What is the critical value?
The critical value is the boundary between the acceptance region (green) and the rejection region (red). Assuming H0 is true, the probability of getting the critical value or a more extreme value — the red area — is the significance level α.
What counts as “more extreme” depends on the alternative hypothesis:
- Two-tailed — two critical values; more extreme means smaller than the lower one or larger than the upper one.
- Left-tailed — one critical value; more extreme means smaller than it.
- Right-tailed — one critical value; more extreme means larger than it.
How to find the critical value
A critical value is a quantile: the score whose cumulative probability equals the critical probability. You can read it off a table, or compute it directly with the score calculator. For a one-tailed test the critical probability is α (left tail) or 1 − α (right tail); for a two-tailed test it is α/2 and 1 − α/2.
Left-tailed test
- The critical probability is α — for example 0.05.
- Calculate the score at that probability (z-score, t-score, F-score and so on).
- The critical value is negative for distributions symmetric around zero, such as the normal and t distributions, but positive for the chi-square and F distributions, which are supported only on positive values.
Right-tailed test
- The critical probability is 1 − α — for example 1 − 0.05 = 0.95.
- Calculate the score at 0.95. The critical value is usually positive.
Two-tailed test
- Split α evenly between the tails: each holds α/2.
- The lower critical value is the score at α/2; the upper one is the score at 1 − α/2.
Z critical value calculator
The z critical value calculator gives the critical value for a z statistic (normal distribution). Choose Normal and enter the mean and standard deviation; for the standard normal distribution use μ = 0 and σ = 1. The familiar two-tailed value at α = 0.05 is ±1.959964. You can also look it up in the Z table.
t critical value calculator
The t critical value calculator gives the critical value for a t statistic. Choose Student's t and enter the degrees of freedom (usually n − 1). The t distribution has heavier tails than the normal, so its critical values are larger — and they converge to the z values as the degrees of freedom grow. See also the t table.
F critical value calculator
The F critical value calculator gives the critical value for an F statistic. Choose F and enter the numerator degrees of freedom (nnumerator − 1) and the denominator degrees of freedom (ndenominator − 1). The F distribution is right-skewed and defined only for positive values, so its two-tailed critical values are not symmetric.
Chi-square critical value calculator
The chi-square critical value calculator gives the critical value for a chi-square statistic. Choose Chi-Square and enter the degrees of freedom. Like the F distribution it is right-skewed and positive only, so the two critical values of a two-tailed test are not mirror images of each other.
Critical value or p-value?
They are two routes to the same decision. The critical-value approach fixes α first and compares the statistic against the boundary; the p-value approach computes the probability of a result at least as extreme as the one observed and compares it against α. Both reject H0 in exactly the same cases.
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