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Mean, Median, Mode Calculator

Calculate the mean, median, mode, range, and other central tendency measures for a data set.

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Standard Deviation & Variance

Compute sample and population standard deviation, variance, and coefficient of variation.

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Quartile & Percentile Calculator

Find quartiles, percentiles, interquartile range, and five-number summary of a dataset.

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Skewness & Kurtosis

Calculate skewness and kurtosis to describe the shape of a distribution.

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Descriptive Summary Statistics

Generate a comprehensive summary: count, mean, std, min, max, quartiles, and more.

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Frequency Distribution Table

Create a frequency distribution table for grouped or ungrouped data with class intervals.

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Range & Interquartile Range

Calculate range, interquartile range, and quartile deviation for data spread.

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Mean Absolute Deviation (MAD)

Calculate mean absolute deviation from the mean or median with step-by-step work.

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Basic Probability Calculator

Compute probability of single or multiple events, union, intersection, complement.

probability
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Combinations & Permutations

Calculate nCr (combinations) and nPr (permutations) with detailed formula steps.

probability
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Conditional Probability

Find conditional probabilities using Bayes' theorem with step-by-step calculations.

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Binomial Probability

Compute binomial probabilities for a given number of trials and success probability.

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Poisson Probability

Calculate Poisson probabilities for a given mean rate and number of events.

probability
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Expected Value & Variance

Calculate expected value, variance, and standard deviation of a discrete probability distribution.

probability
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Bayes' Theorem Calculator

Solve Bayesian probability problems with prior, likelihood, and posterior probabilities.

probability
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Geometric Distribution Probability

Calculate probabilities for geometric distribution (number of trials until first success).

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Normal Distribution Calculator

Find probabilities, z-scores, and percentiles for the normal distribution.

distributions
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Z-Score Calculator

Compute z-scores from raw scores, or find raw scores from z-scores.

distributions
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t-Distribution Calculator

Find t-values, p-values, and probabilities for the Student's t-distribution.

distributions
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Chi-Square Distribution

Compute chi-square critical values, p-values, and probabilities.

distributions
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F-Distribution Calculator

Find F-critical values and p-values for the F-distribution.

distributions
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Exponential Distribution

Calculate exponential distribution probabilities and percentiles.

distributions
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Uniform Distribution Calculator

Calculate probabilities and statistics for continuous and discrete uniform distributions.

distributions
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Beta Distribution Calculator

Compute probabilities and statistics for the Beta distribution.

distributions
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Simple Linear Regression

Find regression equation, slope, intercept, Rยฒ, and predictions from data points.

regression
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Correlation Coefficient (r)

Compute Pearson correlation coefficient, p-value, and interpretation.

regression
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Multiple Linear Regression

Perform multiple regression with multiple predictors, get coefficients, Rยฒ, and ANOVA.

regression
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Coefficient of Determination (Rยฒ)

Calculate Rยฒ and adjusted Rยฒ from regression data.

regression
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Residual Analysis

Compute residuals, standardized residuals, and residual plots from regression.

regression
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Spearman Rank Correlation

Compute non-parametric Spearman rank correlation coefficient.

regression
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Kendall's Tau Correlation

Calculate Kendall's Tau rank correlation coefficient for ordinal data.

regression
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Logistic Regression Calculator

Perform logistic regression with odds ratios and probability predictions.

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One-Sample t-Test

Test a sample mean against a population mean with t-test statistics and p-value.

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Two-Sample t-Test

Compare means of two independent samples (equal or unequal variances).

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Paired t-Test

Test the difference between paired observations with a paired t-test.

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Z-Test for Proportion

Test a population proportion using z-test with confidence intervals.

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Chi-Square Goodness of Fit

Test how well observed frequencies fit expected frequencies.

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Chi-Square Test of Independence

Test association between two categorical variables using contingency tables.

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F-Test for Variances

Compare variances of two populations using the F-test.

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Confidence Interval Calculator

Calculate confidence intervals for means, proportions, and differences.

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One-Way ANOVA

Compare means of three or more groups with ANOVA table, F-statistic, and p-value.

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Two-Way ANOVA

Analyze the effect of two factors and their interaction on a response variable.

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Post-Hoc Comparison (Tukey HSD)

Perform Tukey's honestly significant difference test for pairwise comparisons after ANOVA.

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Repeated Measures ANOVA

Analyze repeated measures data with within-subjects factors.

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ANOVA Effect Size (ฮทยฒ, ฯ‰ยฒ)

Calculate effect size measures (eta-squared, omega-squared) for ANOVA.

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MANOVA Calculator

Perform multivariate ANOVA with multiple dependent variables.

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ANCOVA Calculator

Perform analysis of covariance with covariates.

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Sample Size for ANOVA

Calculate required sample size for ANOVA power and effect size.

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Mann-Whitney U Test

Compare two independent groups with non-parametric Mann-Whitney test.

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Wilcoxon Signed-Rank Test

Compare paired samples using non-parametric Wilcoxon test.

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Kruskal-Wallis Test

Non-parametric alternative to one-way ANOVA for three or more groups.

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Friedman Test

Non-parametric repeated measures test for three or more related groups.

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Sign Test

Non-parametric test for median of a single sample or paired differences.

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Kolmogorov-Smirnov Test

Test goodness-of-fit or compare two samples with K-S test.

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Anderson-Darling Test

Test for normality using the Anderson-Darling goodness-of-fit test.

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Shapiro-Wilk Test

Test for normality using the Shapiro-Wilk test with W-statistic and p-value.

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Histogram Creator

Create a histogram from data with automatic binning and frequency counts.

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Box Plot Generator

Generate a box-and-whisker plot from a dataset with five-number summary.

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Scatter Plot & Trend Line

Plot data points and add a trend line (linear regression) with correlation.

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QQ Plot (Normal Probability Plot)

Check normality of data with a Q-Q plot and Shapiro-Wilk test.

visualization
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Stem-and-Leaf Plot

Create a stem-and-leaf display for data distribution visualization.

visualization
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Pie Chart Creator

Generate pie charts from categorical data with percentages and labels.

visualization
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Bar Chart Generator

Create bar charts for categorical or grouped data with customization.

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Frequency Polygon Maker

Generate frequency polygons from grouped frequency distribution data.

visualization

What Are Statistics Calculators?

Our Statistics Calculators collection provides a comprehensive suite of tools for analyzing data, understanding probability, and making statistical inferences. Whether you are a student learning introductory statistics, a researcher analyzing experimental data, or a data professional working with real-world datasets, these calculators offer accurate and clear solutions.

From descriptive statistics (mean, median, standard deviation) and probability to hypothesis testing, regression, ANOVA, nonparametric tests, and data visualization, our tools cover the full spectrum of statistical analysis.

How to Use This Directory

  • Search: Type a keyword into the search bar to find specific tools by name or description.
  • Filter by Category: Use the dropdown to narrow down calculators by statistical topic โ€” each option shows the number of tools available.
  • Click to Use: Each calculator card links directly to the tool. Click on any card to start your data analysis instantly.
  • Explore More: Check the "Explore More Math Calculators" section for related calculators across other categories.

Why Use Our Statistics Calculators?

  • Comprehensive: Covers descriptive statistics, probability, distributions, regression, hypothesis testing, ANOVA, nonparametric tests, and data visualization.
  • Step-by-Step: Many calculators provide detailed computation steps, helping you understand the methods.
  • Free & Accessible: No registration or fees โ€” use any tool instantly on any device.
  • Educational & Practical: Ideal for coursework, research, and professional data analysis.
  • Accurate & Reliable: Built with robust statistical algorithms and thoroughly tested.

โ“ Statistics Calculators FAQ

What types of statistical analyses can I perform?

You can perform descriptive statistics (mean, median, standard deviation, quartiles), probability calculations, distribution functions (normal, t, chi-square, F), regression and correlation, hypothesis testing (t-tests, z-tests, chi-square, ANOVA), and nonparametric tests.

How do I calculate the mean and standard deviation of a dataset?

Use the Mean, Median, Mode Calculator or the Standard Deviation & Variance calculator. Enter your data as a list of numbers, and the calculator will compute all measures with step-by-step work.

What is a normal distribution and how do I use it?

The normal distribution is a bell-shaped continuous distribution. Use the Normal Distribution Calculator to find probabilities, percentiles, and z-scores for any given mean and standard deviation.

How do I perform a t-test?

Use the One-Sample t-Test, Two-Sample t-Test, or Paired t-Test calculators. Enter your sample data (and optional population mean or paired differences) and the tool will compute the t-statistic, degrees of freedom, and p-value.

What is the difference between a one-tailed and two-tailed test?

In a one-tailed test, the alternative hypothesis specifies a direction (e.g., mean > 0). In a two-tailed test, it specifies that the mean is different from a value (โ‰ ). Our calculators let you choose which is appropriate for your hypothesis.

How do I calculate correlation between two variables?

Use the Correlation Coefficient calculator. Enter two lists of data (x and y), and the tool will compute the Pearson correlation coefficient r, the coefficient of determination Rยฒ, and the p-value for significance.

What is ANOVA and when should I use it?

ANOVA (Analysis of Variance) is used to compare means of three or more groups. Use One-Way ANOVA for a single factor, or Two-Way ANOVA for two factors with interaction. Our calculators provide the full ANOVA table and post-hoc comparisons.

What are nonparametric tests and when should I use them?

Nonparametric tests do not assume a specific distribution for the data. Use them when data are not normally distributed or when working with ordinal data. Examples include Mann-Whitney U, Wilcoxon, Kruskal-Wallis, and Friedman tests.

How do I create a histogram or box plot?

Use the Histogram Creator or Box Plot Generator under the Data Visualization category. Enter your data, and the tools will generate the plot with appropriate scaling, labels, and summary statistics.

Can these calculators handle large datasets?

Yes, our calculators are designed to handle datasets of various sizes, though very large datasets may be limited by browser performance. For most educational and research purposes, they work efficiently.

How accurate are the p-values and confidence intervals?

We use robust numerical methods and standard statistical formulas. P-values are accurate to typical levels (e.g., 4-6 decimal places). Confidence intervals are computed using standard methods.

How often are new statistics tools added?

We continually expand our collection based on user feedback and emerging statistical methods. If you have a suggestion, please contact us via the contact page.