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Statistics & Probability Calculators

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Statistics & Probability Calculators with Steps

Every calculator in this section shows its working: the formula, your numbers substituted into it, each intermediate value and a plain-English conclusion you can copy into an assignment or report. Enter raw data or summary statistics, choose the options your course uses (sample or population, one- or two-tailed, Welch or pooled) and the result updates with a full worked solution.

The tools cover a first course in statistics end to end: measures of centre and spread, z-scores and percentiles, the z, t, chi-square, ANOVA and non-parametric tests, correlation and regression, confidence intervals and sample size planning, the standard discrete and continuous probability distributions, printable statistical tables and graph makers for histograms, box plots and scatter plots.

All calculations run in your browser and have been checked against SciPy on more than 300 test cases. Nothing you enter is sent to a server. Each tool page also has a pre-filled example, so you can see what a complete worked solution looks like before you paste your own data.

Jump to: Descriptive statistics · Hypothesis tests · Confidence intervals and sample size · Probability distributions · Statistical tables · Graph makers

Descriptive statistics

Summarise a data set: centre, spread, position and shape.

Hypothesis tests

Test a claim about means, proportions, variances, counts, ranks or correlation, with every step shown.

One Sample Z-Test Calculator (With Steps)Test a mean when the population standard deviation is known.One Sample T-Test Calculator (With Steps)Test a mean from a small sample when σ is unknown.Two Sample T-Test Calculator (Welch, Pooled)Compare the means of two independent groups (Welch or pooled).Paired T-Test Calculator (With Steps)Before-and-after or matched-pair comparison using the differences.One Proportion Z-Test CalculatorTest whether a proportion (pass rate, yes share) equals a claimed value.Two Proportion Z-Test CalculatorCompare success rates between two independent groups.Chi-Square Goodness of Fit CalculatorDo observed category counts match an expected distribution?Chi-Square Test of Independence CalculatorAre two categorical variables associated? Any r × c contingency table.One-Way ANOVA Calculator (With Steps)Compare three or more group means with an F test and full ANOVA table.F-Test for Two Variances CalculatorTest whether two samples have the same variance (F = s₁²/s₂²).Mann-Whitney U Test CalculatorNon-parametric comparison of two independent groups using ranks.Wilcoxon Signed-Rank Test CalculatorNon-parametric paired test based on signed ranks of the differences.Pearson Correlation Coefficient CalculatorLinear correlation r between two variables with a significance test.Spearman Rank Correlation CalculatorRank-based correlation for monotonic or ordinal relationships.Linear Regression Calculator (With Steps)Least-squares line ŷ = b₀ + b₁x with residuals, r², slope test and prediction.

Confidence intervals and sample size

Estimate a parameter with a margin of error, or work out how many observations you need.

Probability distributions

Probabilities, percentiles and critical values for the common discrete and continuous distributions.

Statistical tables

Printable z, t, chi-square and F tables generated from the same formulas the calculators use.

Graph makers

Draw a histogram, box plot or scatter plot from your data and download it as a PNG.

Frequently asked questions

Are these statistics calculators free?
Yes. Every tool on this page is free to use with no sign-up, and the worked steps are shown in full.
Do the calculators show the steps?
Yes. Each one prints the formula, the substitution with your numbers, every intermediate result and an interpretation of the outcome.
Which hypothesis test should I use?
One mean: z-test (σ known) or t-test. Two independent means: two-sample t-test or Mann-Whitney U. Paired data: paired t-test or Wilcoxon signed-rank. Proportions: one- or two-proportion z-test. Counts in categories: chi-square. Three or more means: one-way ANOVA. Relationship between two numeric variables: Pearson or Spearman correlation, or linear regression.
Are the results accurate?
The numerical routines were validated against SciPy across all calculators, matching to at least seven significant figures on the test cases.

More calculators on this site

Last reviewed: September 25, 2026. 49 tools, all validated against SciPy.

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