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From Samples to Decisions
Use these calculators to build confidence intervals, run hypothesis tests, and evaluate goodness-of-fit. Each tool follows textbook formulas, highlights assumptions, and delivers interpretation-ready output.
đ Confidence Intervals & Margin of Error
Estimationđ§ž Hypothesis Tests
LiveOne-sample z-Test
Compute z statistics, p-values, and critical regions when the population Ď is known. Includes step-by-step workflow and references.
t-Test Suite
Run one-sample, independent (pooled/Welch), and paired t-tests with effect sizes, assumptions, and LaTeX-formatted formulas.
Proportion & Variance Tests
Run one-/two-proportion z-tests, chi-square variance checks, and F variance ratios with LaTeX formulas, steps, and references.
Chi-Square GOF Test
Compare observed vs expected categorical counts. Supports uniform or custom expectations with effect size and residual diagnostics.
Nonparametric Tests
MannâWhitney, Wilcoxon, KruskalâWallis, and ShapiroâWilk with effect sizes, tie corrections, and workflow guidance.
EDF Tests (KS & AD)
KolmogorovâSmirnov and AndersonâDarling (one-/two-sample) with Lilliefors correction, critical values, and interpretation.
Fisher's Exact Test
Compute 2x2 Fisher exact p-values with mid-p adjustments, odds ratios, and detailed workflow narration for small samples.
Exact Binomial Test
Perform exact binomial tests with two-sided and one-sided p-values, mid-p adjustments, and ClopperâPearson confidence intervals.
McNemar Test
Analyze paired nominal outcomes with asymptotic, continuity corrected, and exact McNemar p-values plus effect size guidance.
Cochran Q Test
Compare related binary proportions across multiple treatments using Cochran's Q with Kendall W effect size and workflow narration.
đ ANOVA & Advanced Designs
LiveOne-Way ANOVA
Paste raw group data to build the ANOVA table, F statistic, and effect sizes (Ρ², Ď²) with interpretation.
Two-way ANOVA & Post-hoc
Factorial designs with interaction, Tukey HSD, Dunnett corrections, and diagnostics (coming soon).
đ Effect Sizes & Practical Significance
NewCohen's d
Compute pooled SD, standardized mean difference, approximate confidence intervals, and overlap metrics for independent samples.
Hedges' g
Apply small-sample bias correction to Cohen's d and report confidence intervals with magnitude guidance.
Glass's Delta
Standardize mean differences using the control group standard deviation with overlap and r conversions.
ANOVA Effect Sizes
Derive eta^2, omega^2, and partial eta^2 from ANOVA sums of squares with field-ready magnitude prompts.
Rank-Biserial Correlation
Convert Mann-Whitney U statistics into rank-biserial correlations, confidence intervals, and probability of superiority.