Hypothesis Testing Calculator vs Statistical Power Calculator
Two calculators for the same neighbourhood of questions. Here is what each measures, what you feed in, and where you'd reach for one over the other.
Hypothesis Testing Calculator
Run a one-sample t-test to decide whether a sample mean differs significantly from a hypothesised population mean. Returns 1 (reject the null hypothesis) or 0 (fail to reject) at your chosen confidence level using the one-sample t-statistic and a critical-value lookup.
- Answers
- Reject Null Hypothesis
- Inputs
- Sample Mean, Population Mean (H₀), Sample Standard Deviation, Sample Size, Test Type, Confidence Level
Statistical Power Calculator
Determine the statistical power of a hypothesis test given effect size, sample size, and alpha level. Use it when designing experiments to confirm you have enough participants to detect a real effect.
- Answers
- Statistical Power
- Inputs
- Effect Size (Cohen's d), Sample Size per Group, Alpha Level, Test Direction
At a glance
| Hypothesis Testing Calculator | Statistical Power Calculator | |
|---|---|---|
| Category | Probability | Statistics |
| Answers | Reject Null Hypothesis | Statistical Power |
| Inputs | 6 | 4 |
| Result unit | — | — |
When to use each
Run a one-sample t-test to decide whether a sample mean differs significantly from a hypothesised population mean. Returns 1 (reject the null hypothesis) or 0 (fail to reject) at your chosen confidence level using the one-sample t-statistic and a critical-value lookup.
Determine the statistical power of a hypothesis test given effect size, sample size, and alpha level. Use it when designing experiments to confirm you have enough participants to detect a real effect.