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All Statistical Calculators

Explore our complete library of free online statistical tools. Perform hypothesis testing, compute exact p-values, estimate confidence intervals, determine sample sizes, and analyze probability distributions with step-by-step mathematical solutions.

Showing 18 of 18 calculators
Known Population σHypothesis Testing

Z Test Calculator

Perform one-sample, two-sample, and proportion z-tests with step-by-step normal distribution derivations and p-values.

  • One-sample & two-sample mean tests
  • One-proportion & two-proportion tests
  • Z-score & two-tailed p-values
Formula: z = (x̄ - μ₀) / (σ / √n)
Unknown Population σHypothesis Testing

T Test Calculator

Calculate Student’s t-tests, Welch’s unequal variance t-tests, and paired repeated measures t-tests with Cohen’s d effect sizes.

  • Independent & paired sample designs
  • Welch–Satterthwaite df correction
  • Cohen's d standardized effect size
Formula: t = (x̄₁ - x̄₂) / √(s₁²/n₁ + s₂²/n₂)
Exact Non-ParametricHypothesis Testing

Binomial Test Calculator

Exact one-sample binomial test evaluating binary success counts against a hypothesized probability without approximation.

  • Exact binomial distribution p-values
  • Clopper-Pearson & Wilson score CIs
  • Sign test and coin-toss modeling
Formula: P(X = k) = (n choose k) · p₀ᵏ · (1 - p₀)ⁿ⁻ᵏ
Exact 2x2 ContingencyHypothesis Testing

Fisher's Exact Test Calculator

Exact test of independence for 2×2 contingency tables using the hypergeometric distribution. Ideal for cell counts < 5.

  • Exact two-tailed & one-tailed p-values
  • Sample Odds Ratio & Relative Risk with CIs
  • Lancaster's mid-p value adjustment
Formula: P(X = a) = [(R₁! R₂! C₁! C₂!) / (N! a! b! c! d!)]
Paired 2x2 NominalHypothesis Testing

McNemar Test Calculator

Test marginal homogeneity for paired dichotomous data in repeated-measures and matched case-control research designs.

  • Exact binomial & Edwards corrected χ²
  • Discordant odds ratio & marginal risk difference
  • Cohen's g paired effect size metric
Formula: χ²_corrected = (|b - c| - 1)² / (b + c)
3+ Group ComparisonHypothesis Testing

ANOVA Calculator

One-way Analysis of Variance testing whether population means differ significantly across 3 or more independent groups.

  • Between-group & within-group sum of squares
  • F-statistic & exact F-distribution p-value
  • Eta-squared (η²) variance explained
Formula: F = MS_between / MS_within
Categorical AssociationHypothesis Testing

Chi-Square Calculator

Perform Chi-Square goodness-of-fit and tests of independence across multi-category frequency tables.

  • Observed vs. expected frequency tables
  • Pearson χ² test statistic & p-value
  • Cramér’s V strength of association
Formula: χ² = Σ [(O - E)² / E]
Equality of VariancesHypothesis Testing

F-Test Calculator

Compare the variances of two independent normal populations to verify homoscedasticity assumptions.

  • Variance ratio test statistic
  • One-tailed & two-tailed F p-values
  • Validates t-test and ANOVA assumptions
Formula: F = s₁² / s₂²
Multi-DistributionResults & Intervals

P-Value Calculator

Instantly calculate exact one-tailed and two-tailed p-values from Z-scores, t-values, F-statistics, r correlations, and χ² values.

  • Supports Z, t, F, χ², and Pearson r
  • Interactive probability density curves
  • Significance interpretation against α
Formula: p = 2 · (1 - Φ(|z|))
Threshold BoundariesResults & Intervals

Critical Value Calculator

Determine exact critical value cutoffs for Z, t, Chi-Square, and F distributions given your significance level α and degrees of freedom.

  • One-tailed & two-tailed critical bounds
  • Rejection region visual highlighting
  • Custom α levels (0.001 to 0.20)
Formula: Critical region: |T| ≥ t_(α/2, df)
Parameter EstimationResults & Intervals

Confidence Interval Calculator

Calculate lower and upper bounds for sample means using Z and Student’s t distributions across standard confidence levels.

  • 90%, 95%, 99% confidence levels
  • Margin of error decomposition
  • Known vs. unknown standard deviation
Formula: CI = x̄ ± (z* or t*) · (s / √n)
Practical ImportanceResults & Intervals

Effect Size Calculator

Compute Cohen’s d, Hedges’ g bias-corrected metric, Glass’s delta, and eta-squared (η²) from summary statistics or group means.

  • Standardized mean differences
  • Hedges’ small-sample correction
  • Cohen benchmark interpretation (0.2, 0.5, 0.8)
Formula: d = (x̄₁ - x̄₂) / s_pooled
Survey PrecisionResults & Intervals

Margin of Error Calculator

Find the margin of error for survey proportions or sample means with optional Finite Population Correction (FPC).

  • Survey percentage precision
  • Finite population correction adjustment
  • Custom confidence level inputs
Formula: MOE = z* · √[p(1 - p) / n] · FPC
Study DesignDescriptive & Probability

Sample Size Calculator

Determine the exact sample size needed to achieve a target margin of error, statistical power (1 - β), and significance level.

  • Proportion & mean sample sizing
  • Statistical power requirements
  • Finite population downsizing
Formula: n = (z*² · p(1 - p)) / E²
StandardizationDescriptive & Probability

Z Score Calculator

Convert any raw data score into its standard normal score (Z) and calculate percentiles, tail areas, and probabilities between limits.

  • Instant percentile ranking
  • Probability area P(Z < z) & P(Z > z)
  • Two-point boundary calculations
Formula: z = (X - μ) / σ
Spread & DispersionDescriptive & Probability

Standard Deviation Calculator

Calculate sample standard deviation (s), population standard deviation (σ), variance, sum of squares, and mean absolute deviation.

  • Sample (n - 1) & population (N) modes
  • Full deviation table step-by-step
  • Interactive raw dataset pasting
Formula: s = √[ Σ(xᵢ - x̄)² / (n - 1) ]
Central TendencyDescriptive & Probability

Sample Mean Calculator

Calculate the arithmetic mean, median, mode, geometric mean, and trimmed average for numerical data arrays.

  • Step-by-step summation and division
  • Median, mode & range summary
  • Comma, space, or newline list parsing
Formula: x̄ = (Σ xᵢ) / n
Combinatorics & EventsDescriptive & Probability

Probability Calculator

Calculate single-event, joint independent, mutually exclusive, conditional (Bayes’ theorem), and binomial event probabilities.

  • Single, multiple, and conditional events
  • Interactive Venn diagram visualizations
  • Odds for, odds against, and percentage formats
Formula: P(A|B) = [P(B|A) · P(A)] / P(B)
Interactive Test Selector

Not Sure Which Calculator You Need?

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Comprehensive Hypothesis Testing Guide

Quick reference guide to understand when and why to apply each major statistical test:

Statistical TestData TypeSample StructureKey AssumptionTest Statistic
Z-TestContinuous or Proportions1 or 2 Independent groupsPopulation σ known, or n ≥ 30Z = (x̄ - μ) / (σ/√n)
Student's T-TestContinuous (Scale)1, 2 Independent or PairedPopulation σ unknown, normal datat = (x̄ - μ) / (s/√n)
Exact Binomial TestBinary (Dichotomous)1 Sample (n trials)Independent Bernoulli trialsk successes ~ B(n, p₀)
Fisher's Exact TestCategorical (2×2 table)2 Independent groupsSmall samples (any E < 5)Hypergeometric PMF
McNemar's TestBinary (2×2 table)Paired / Repeated MeasuresMatched pairs, discordant shiftsχ² = (|b - c| - 1)² / (b + c)
One-Way ANOVAContinuous (Scale)3 or more Independent groupsEqual variances & normalityF = MS_between / MS_within
Chi-Square TestCategorical (r × c table)Independent observationsExpected counts E ≥ 5χ² = Σ (O - E)² / E
William Davis

Created by William Davis

Last updated: October 14, 2026

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