Hypothesis Testing Calculator
Perform statistical hypothesis tests with p-values and confidence intervals
About this calculator
A hypothesis testing calculator is an essential statistical tool that helps researchers and analysts determine whether their sample data provides sufficient evidence to support or reject a hypothesis about a population parameter. This calculator performs various statistical tests, computes p-values, and generates confidence intervals to make data-driven decisions. It's invaluable for students, researchers, and professionals who need to validate assumptions, compare groups, or test theories using rigorous statistical methods without manual calculations.
How to use
Enter your sample data, select the appropriate test type (one-sample, two-sample, or paired), and specify your null and alternative hypotheses. Input your significance level (typically 0.05) and choose whether it's a one-tailed or two-tailed test. Click calculate to get your test statistic, p-value, confidence interval, and conclusion about rejecting or failing to reject the null hypothesis.
Frequently asked questions
What is a p-value in hypothesis testing?
A p-value represents the probability of obtaining results at least as extreme as observed, assuming the null hypothesis is true. Lower p-values indicate stronger evidence against the null hypothesis.
When do I reject the null hypothesis?
Reject the null hypothesis when the p-value is less than your chosen significance level (α), typically 0.05, indicating statistically significant results that support the alternative hypothesis.
What's the difference between one-tailed and two-tailed tests?
One-tailed tests examine effects in a specific direction (greater than or less than), while two-tailed tests check for differences in either direction without specifying which.