Hypothesis Testing Calculator vs P-Value 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
P-Value Calculator
Convert a z-score (or any standard-normal test statistic) into a p-value for a one- or two-tailed hypothesis test, then see it visualised as the shaded tail area on the standard normal curve. The smaller the p-value, the stronger the evidence against the null hypothesis — reject H₀ when p drops below your significance threshold (commonly 0.05).
- Answers
- p-value
- Inputs
- Test Statistic (z), Test Type
At a glance
| Hypothesis Testing Calculator | P-Value Calculator | |
|---|---|---|
| Category | Probability | Statistics |
| Answers | Reject Null Hypothesis | p-value |
| Inputs | 6 | 2 |
| 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.
Convert a z-score (or any standard-normal test statistic) into a p-value for a one- or two-tailed hypothesis test, then see it visualised as the shaded tail area on the standard normal curve. The smaller the p-value, the stronger the evidence against the null hypothesis — reject H₀ when p drops below your significance threshold (commonly 0.05).