Hypothesis Testing Calculator vs Confidence Interval 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
Confidence Interval Calculator
Compute the lower and upper bounds of a confidence interval for a population mean using a sample mean, the standard error of that mean, and a critical z-value (1.645 / 1.96 / 2.576 for 90% / 95% / 99% confidence). This is the standard way to report uncertainty around survey results, lab measurements, or any sample-based estimate.
- Answers
- Lower Bound
- Inputs
- Sample Mean, Standard Error, Z-Value
At a glance
| Hypothesis Testing Calculator | Confidence Interval Calculator | |
|---|---|---|
| Category | Probability | Statistics |
| Answers | Reject Null Hypothesis | Lower Bound |
| 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.
Compute the lower and upper bounds of a confidence interval for a population mean using a sample mean, the standard error of that mean, and a critical z-value (1.645 / 1.96 / 2.576 for 90% / 95% / 99% confidence). This is the standard way to report uncertainty around survey results, lab measurements, or any sample-based estimate.