Mean
Confidence intervals · Method and input reference
Independent observations. Mean and difference use t intervals (Welch for two groups); proportion uses Wilson; difference in proportions uses Newcombe; SD uses normal-population chi-square; correlation uses Fisher z. Synthetic example: 120 baseline systolic blood pressures (mmHg), with between-person variation. Illustrative data, not clinical evidence.
Open calculator · Compare methods in the decision matrix
When to consider it
- Estimate a numeric population mean with an interval.
Assumptions and scope
- Observations must be independent between subjects; repeated rows from one subject are not independent samples.
- Use the outcome and predictor coding required by the calculator; review missing data and model diagnostics.
Required inputs
- Observations — Numeric observations; preserve the row and column structure described above.
- Confidence level — Enter the method parameter described above.
Review missing values and data coding before running. Sample inputs are synthetic teaching examples.
Implementation
Lifescio validates inputs and formats results; listed functions are the principal calculation routines, not an exhaustive transitive dependency list.
- scipy 1.15.3: scipy.stats.sem, scipy.stats.t.interval
These are pinned library versions; saved results record the versions actually used at runtime.