Hypothesis Test Calculator
Perform one-sample t-test and z-test for statistical hypothesis testing
About this calculator
The Hypothesis Test Calculator performs one-sample t-tests and z-tests to help determine if sample data provides sufficient evidence to reject a null hypothesis. This statistical tool is essential for researchers, students, and data analysts who need to make evidence-based conclusions about population parameters. It calculates test statistics, p-values, and critical values, making complex statistical hypothesis testing accessible and accurate for various research scenarios.
How to use
Enter your sample data including sample mean, population mean, standard deviation, and sample size. Select whether to perform a t-test or z-test based on your data characteristics. Choose your significance level and alternative hypothesis type (two-tailed, left-tailed, or right-tailed), then click calculate to get your test results.
Frequently asked questions
When should I use a t-test vs z-test?
Use a t-test when sample size is small (n<30) or population standard deviation is unknown. Use z-test for large samples with known population standard deviation.
What does the p-value tell me?
The p-value represents the probability of obtaining your results if the null hypothesis is true. Lower p-values indicate stronger evidence against the null hypothesis.
How do I choose the significance level?
Common significance levels are 0.05, 0.01, or 0.10. Choose 0.05 for standard research, 0.01 for more stringent testing, or 0.10 for exploratory analysis.