Run the most common statistical tests with built-in assumption checking, effect size reporting, and interpretable output.
13 functions
Hypothesis Testing
Rigorous statistical tests and regression analysis.
Functions
ChiSquareTestOfIndependence
Test whether two categorical variables are statistically independent.
ChiSquareTestOfIndependenceFromTable
Perform a chi-square test of independence from a pre-calculated contingency table.
ConductCoxProportionalHazardRegression
Conduct Cox Proportional Hazard Regression to model survival times and analyze predictor impacts.
ConductLinearRegressionAnalysis
Run OLS linear regression with full diagnostics and interpretable output.
ConductLogisticRegressionAnalysis
Conduct logistic regression analysis to model categorical outcomes and assess predictor impact.
ConductSurvivalAnalysis
Conduct survival analysis to model time-to-event data and compare survival patterns.
OneSampleTTest
Compare a sample mean to a hypothesized population value.
OneWayANOVA
Perform a one-way analysis of variance (ANOVA) and post-hoc Tukey tests.
TTestOfMeanFromStats
Perform a hypothesis test of a mean using summary statistics.
TTestOfProportionFromStats
Perform a hypothesis test of a proportion using summary statistics.
TTestOfTwoMeansFromStats
Perform a two-sample independent t-test using summary statistics.
TwoSampleTTestOfIndependence
Perform a two-sample independent t-test to compare means between two groups.
TwoSampleTTestPaired
Perform a paired two-sample t-test to compare means between related observations.