Critical Value Calculator
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A critical value marks where the rejection region of a test starts. For a two-tailed z test at α = 0.05 it is ±1.96; for a t test with 10 degrees of freedom it is ±2.228. Pick the distribution, the significance level and the tails.
0.05 for 95% confidence, 0.01 for 99%.
For F, this is the numerator df.
| Inputs | |
| Distribution | t (df = 10) |
| α | 0.05 |
| Tails | two-tailed |
| Critical value | |
| Reject H₀ if | t < -2.2281 or t > 2.2281 |
| Confidence level | 95% |
Show steps
- Split α between the two tails: 0.05 ÷ 2 = 0.025 in each tail.
- Find the value with area 0.975 to its left: 2.2281.
How to use the calculator
- Choose the distribution your test uses: z for large samples or known σ, t for means with an estimated standard deviation, chi-square for variance and goodness-of-fit tests, F for ANOVA and comparing variances.
- Choose the tails from your alternative hypothesis: ≠ is two-tailed, > is right-tailed, < is left-tailed.
- Enter α and the degrees of freedom, then press Calculate.
Common critical values
| Confidence | α | z one-tailed | z two-tailed |
|---|---|---|---|
| 90% | 0.10 | 1.2816 | ±1.6449 |
| 95% | 0.05 | 1.6449 | ±1.9600 |
| 98% | 0.02 | 2.0537 | ±2.3263 |
| 99% | 0.01 | 2.3263 | ±2.5758 |
| df | t two-tailed α = 0.10 | α = 0.05 | α = 0.01 |
|---|---|---|---|
| 5 | 2.015 | 2.571 | 4.032 |
| 10 | 1.812 | 2.228 | 3.169 |
| 20 | 1.725 | 2.086 | 2.845 |
| 30 | 1.697 | 2.042 | 2.750 |
As the degrees of freedom grow, t critical values move toward the z values.
Critical value vs p-value
Both lead to the same decision. With critical values you compare your test statistic with the cutoff: reject H0 if it lands in the rejection region. With p-values you compare p with α: reject H0 if p ≤ α. A z statistic of 2.3 in a two-tailed test at α = 0.05 is beyond 1.96, and its p-value of about 0.021 is below 0.05.
Degrees of freedom
- One-sample t test: df = n − 1.
- Two-sample t test with equal variances: df = n1 + n2 − 2.
- Chi-square goodness of fit: df = categories − 1; test of independence: (rows − 1)(columns − 1).
- One-way ANOVA F test: numerator df = groups − 1, denominator df = total observations − groups.
Critical value practice questions
Test yourself with 6 multiple-choice questions. Choose an answer and press Submit to see if you are right and why. Your score appears at the end.
“Not equal” allows a difference in either direction, so both tails are used.
Quiz complete
Frequently asked questions
What is a critical value in statistics?
It is the cutoff on the test distribution that separates the rejection region from the rest. If the test statistic is beyond it, you reject the null hypothesis.
How do you find a t critical value?
Use the significance level, the number of tails and the degrees of freedom. For a two-tailed test at α = 0.05 with df = 10, the t critical value is 2.228.
Why is the two-tailed critical value larger?
The significance level is split between two tails, so each tail holds only α ÷ 2. You must go further from the center to leave that smaller area.
Do chi-square and F tests have two tails?
They are usually right-tailed, because large statistics show a poor fit or a real difference. A two-tailed version is used for some variance tests, and then there are separate lower and upper critical values.
Sources
- NIST/SEMATECH e-Handbook: Critical values of the t distribution
- NIST/SEMATECH e-Handbook: Critical values of the chi-square distribution
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