Mean Calculator
Compute the arithmetic mean with full step-by-step breakdown. Also outputs range, variance, and standard deviation.
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.
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Compute the arithmetic mean with full step-by-step breakdown. Also outputs range, variance, and standard deviation.
Find the median instantly. Supports comma, space, or newline inputs with step-by-step solutions for odd and even counts.
Calculate mean, median, and mode simultaneously with step-by-step solutions and frequency insights.
Mean, median, mode, variance, SD, quartiles, IQR, skewness, and kurtosis. The most complete single-dataset summary tool.
Calculate population (σ) and sample (s) standard deviation with a full formula breakdown showing every step.
Enter a score, mean, and SD to get the z score instantly. Includes bell curve visualization and probability interpretation.
Find min, Q1, median, Q3, and max to summarize your dataset for box plots and exploratory data analysis.
Calculate Chebyshev's interval and the minimum proportion within k standard deviations for any distribution.
Calculate margin of error for survey results using sample size, confidence level, and population proportion.
Calculate class width for grouped frequency distributions using the data range and number of classes, with a clear step-by-step result.
Create a dot plot from a dataset to visualize the distribution, frequency, center, spread, clusters, gaps, and potential outliers.
Generate a box plot and calculate the five-number summary, quartiles, interquartile range, whiskers, and potential outliers from your data.
Find the interquartile range (Q3 minus Q1) to describe the spread of the middle half of a dataset.
Explore percentile ranks and positions in a dataset to understand relative standing.
Calculate a mean that assigns different weights to different values.
Calculate basic, conditional, and joint probabilities for independent and dependent events with step-by-step solutions.
Calculate P(A|B) using the conditional probability formula. Shows how one event's occurrence changes another's probability.
Calculate posterior probability from prior, likelihood, and evidence. Shows step by step how new data updates predictions.
Calculate E(X) of a discrete probability distribution using outcomes and their corresponding probabilities.
Calculate C(n, r) — selecting r items from n without regard to order. Shows all factorial steps clearly.
Calculate the probability two or more people in a group share a birthday. Explore why small groups have high match odds.
Calculate conditional probabilities for the Boy or Girl Paradox and see how context changes the likelihood.
Explore the famous three-box paradox. Calculate conditional probabilities step by step with full explanation.
Calculate the probability of getting a specific number of heads or tails. Includes a live coin flipper simulator.
Calculate the expected average roll for any number of dice with any number of sides. Ideal for exploring discrete probability distributions.
Calculate the probability of getting a streak of consecutive heads or tails in a given number of coin tosses. Great for exploring the law of large numbers.
Flip a virtual coin to generate heads-or-tails outcomes and explore randomness.
Explore the probability of outcomes from dice rolls, including different totals and events.
Explore the number of possible password combinations for different character choices and lengths.
Count ordered arrangements and compare permutations with combinations.
One-sample, paired, two-sample, and Welch's t-tests. Get t-value, p-value, CI, effect size, and full solutions.
One-sample and two-sample z-tests for when the population standard deviation is known.
Goodness-of-fit and independence tests. Get expected frequencies, p-values, and degrees of freedom step by step.
One-way ANOVA for comparing multiple group means. F-statistic, p-value, and significance — step by step.
CI for means and proportions using z and t intervals. Margin of error, critical values, and visual results.
Cohen's d and related measures. Assess practical significance and interpret results beyond just the p-value.
Compare conversion rates, calculate p-values and confidence intervals to determine statistical significance.
Adjust your significance threshold for multiple comparisons to prevent false positives.
Find critical values for z, t, chi-square, and F distributions by significance level and degrees of freedom.
Work with p-values when assessing evidence against a statistical null hypothesis.
Explore statistical power and its relationship to sample size, effect size, and significance level.
Z-scores, probabilities, PDF, and CDF. Left-tail, right-tail, two-tailed, and inverse modes with bell curve visualization.
Calculate PMF and CDF for a fixed number of independent trials with a constant success probability.
Probability of a given number of events in a fixed interval when events occur at a known constant rate.
Estimate binomial probabilities using the normal approximation. Includes continuity correction and z-score steps.
Sampling distribution, standard error, and probability using the CLT. Essential for large-sample statistical inference.
Required sample size given confidence level, margin of error, and population size. Essential for study planning.
Apply the continuity correction when approximating a discrete distribution with a continuous normal distribution, with corrected boundaries and probability calculations.
Calculate beta distribution probabilities, probability density, cumulative probabilities, and percentiles using customizable alpha and beta parameters.
Use the 68-95-99.7 rule to estimate the percentage of data within one, two, and three standard deviations of the mean for a normal distribution.
Regression equation, slope, intercept, and R² with step-by-step explanation and scatter plot output.
Calculate Pearson's r with covariance, R², p-values, and scatter plot. Full step-by-step breakdown.
Odds ratio, CI, and related statistics from a 2×2 contingency table for case-control studies.
Risk ratio from exposed and unexposed groups. Compares event probabilities in cohort and clinical research.
Probability of a condition after a diagnostic test using pre-test probability, sensitivity, and specificity.
Classification accuracy from correct vs total predictions. Quick model performance evaluation.
Accuracy, precision, recall, F1 score, and specificity from a confusion matrix in one step.
McNemar's test for paired nominal data. Test for significant change between paired observations from a 2×2 table.
Test whether your dataset's leading digit distribution conforms to Benford's Law. Used in fraud detection, forensic accounting, and data quality analysis.
Confidence intervals for a proportion using successes, total trials, and a chosen confidence level.
Explore how test accuracy and prevalence influence the chance that a positive result is correct.
Explore risk estimates for an event using the inputs and definitions provided by the calculator.
Evaluate diagnostic test performance using sensitivity, specificity, and related measures.
Explore course-grade calculations, GPA, and the grade needed to reach an academic target.
Calculate percentages and solve common part–whole percentage problems.
Calculate relative increases and decreases between an original and a new value.
Roll virtual dice for games, probability experiments, or classroom practice.
Generate random numbers for sampling, experiments, or everyday number selection.
Generate randomized password strings with options provided by the tool.