A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
More Meaningful Measurements: Effect Sizes and Confidence Intervals for Proportions using Python
Use bootstrap resampling to estimate the sampling distribution of a statistic
Calculate confidence intervals for correlation coefficients
Package provides python implementation of statistical inference engine
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
Analyse efficacy of your own confidence interval (CI) methods
Basic Statistic operations using Python
a small program for calculating and plotting confidence intervals used in psychodiagnostics
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