Statistics Calculators

Find the right tool from 69 calculators grouped by topic: descriptive statistics, probability, hypothesis testing, distributions, regression, applied statistics, everyday math, and random generators. Many tools also explain the underlying calculation.

Search by a term such as percentile, dice, p-value, or risk, or choose a category below. No directory sign-in is needed to browse the tools.

69 calculators 8 categories Browse tools by topic Mobile-friendly directory
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Descriptive statistics

Learn descriptive stats → 15 calculators
Beginner

Dot Plot Calculator

Create a dot plot from a dataset to visualize the distribution, frequency, center, spread, clusters, gaps, and potential outliers.

Probability

Learn probability → 15 calculators

Hypothesis testing

Learn hypothesis testing → 11 calculators

Distributions

Learn distributions → 9 calculators

Regression & correlation

Learn regression → 2 calculators

Applied & clinical statistics

11 calculators
Intermediate

Benford's Law Calculator

Test whether your dataset's leading digit distribution conforms to Benford's Law. Used in fraud detection, forensic accounting, and data quality analysis.

Math & grades

Explore statistics basics →3 calculators

Random generators

Learn about probability →3 calculators

Frequently asked questions

For a full dataset summary, use the Descriptive Statistics Calculator — it covers mean, median, mode, SD, variance, quartiles, and kurtosis in one tool. For comparing two group means, use the T-Test Calculator. All 69 calculators on this page are free, browser-based, and require no account or download.
Use Descriptive Statistics for a single dataset. Use T-Test for two group means. Use ANOVA for three or more groups. Use Chi-Square for categorical data. Use Pearson Correlation for linear relationships. Not sure? Try the statistical test selector.
Enter comma-separated values into the Standard Deviation Calculator. It calculates both population (σ) and sample (s) SD with a full step-by-step breakdown. For a complete summary including quartiles and IQR, use the Descriptive Statistics Calculator instead.
A z-test is often appropriate for normal-model mean inference when population SD is known. A t-test accounts for estimating population SD from a sample. The best test also depends on your study design and assumptions. Read the t-test vs z-test guide.
Yes. All 69 calculators are fully responsive and work on phones, tablets, and desktops with no app download or account required. Results appear instantly as you enter data.