Proportion
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.
Open calculator · Compare methods in the decision matrix
When to consider it
- Estimate a binary proportion with a Wilson 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
- Successes — Enter the method parameter described above.
- Trials — Enter the method parameter 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.
- statsmodels 0.14.4: statsmodels.stats.proportion.proportion_confint
These are pinned library versions; saved results record the versions actually used at runtime.