Hypothesis Testing Calculator vs Sample Size 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
Sample Size Calculator
Calculate the minimum number of respondents needed to estimate a population proportion within a given margin of error at a chosen confidence level — the standard formula behind almost every survey, poll, and quality audit. Includes the finite-population correction so you can plan surveys of small populations without over-sampling.
- Answers
- Required Sample Size
- Inputs
- Population Size, Confidence Level, Margin of Error
At a glance
| Hypothesis Testing Calculator | Sample Size Calculator | |
|---|---|---|
| Category | Probability | Statistics |
| Answers | Reject Null Hypothesis | Required Sample Size |
| Inputs | 6 | 3 |
| 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.
Calculate the minimum number of respondents needed to estimate a population proportion within a given margin of error at a chosen confidence level — the standard formula behind almost every survey, poll, and quality audit. Includes the finite-population correction so you can plan surveys of small populations without over-sampling.