5 Number Summary Calculator
Find minimum, quartiles, median, maximum, range, and IQR
Explore our collection of free online Statistics calculators designed to help you solve a wide range of Statistics problems quickly and accurately. Find the right calculator, simplify complex calculations, understand your results, and export them for use and citation in project reports and research.
Find minimum, quartiles, median, maximum, range, and IQR
Compute weighted average ratings from responses across five levels.
Compare different averages and explore your data distribution.
Compute relative variability from mean and standard deviation values
Compute standardized mean differences and interpret effect size clearly
Find the proportionality constant from two corresponding variable values
Compute Pearson correlation from paired dataset summary statistics accurately
Measure binary classification agreement using Matthews correlation coefficient
Calculate covariance from correlation and standard deviations
Find decile positions and percentile ranks from sample size
Summarize datasets with essential descriptive statistical measures
Measure range, quartiles, variance, deviation, and relative data spread
Calculate combined measurement uncertainty for common mathematical operations
Find grouped data mean, variance, and standard deviation quickly
Measure categorical diversity using frequency distribution and category counts
Find quartile spread and identify potential statistical outliers quickly
Sort numbers from least to greatest quickly and accurately
Calculate average distance between values and their arithmetic mean
Find mean, median, mode, range, variance, and standard deviation
Explore central tendency, data spread and frequency distributions visually.
Calculate robust data spread using median absolute deviation
Find the middle value of a numerical data set
Find the central value between minimum and maximum observations
Find the smallest and largest values in any dataset
Find the most frequent value in any dataset quickly
Compute mean squared error from total squared error and observations
Identify outliers using IQR fences and z-score analysis
Calculate Pearson correlation and statistical significance from paired summary data.
Calculate percentile rank and standardized z-score instantly
Find a score's relative standing within a dataset
Combine group variability into one representative standard deviation
Find population variance, mean, and standard deviation from summary statistics
Measure process capability using specification limits and variation
Find quartiles, spread, and outlier boundaries from numerical data
Find the difference between the largest and smallest values
Measure data variability using mean and standard deviation
Calculate relative standard error from estimate and standard error
Measure species diversity, dominance, and reciprocal diversity from abundance data.
Measure distribution asymmetry using multiple standard skewness methods
Compute rank correlation, significance, explained variance, and test statistics
Calculate population and sample standard deviation from numerical data
Compute standardized scores, percentile estimates, and distance from the mean
Estimate sample mean variability from standard deviation and sample size
Calculate dataset spread, variance, quartiles and distribution insights easily.
Estimate sampling variability from deviation and sample size
Explore data distributions, central tendency, variability and outliers.
Calculate squared sums, variance, deviation, and descriptive statistics
Estimate statistical uncertainty, confidence intervals, and relative precision.
Find interquartile range and outlier fences from quartile values.
Find variance, mean, and standard deviation from summary statistics
Visualize set relationships and calculate overlaps, unions, percentages
Calculate standard scores, percentiles and normal distribution probabilities.
Compare observed leading digits with Benford's expected logarithmic distribution.
Compute beta probabilities, moments, and distribution shape statistics
Compute binomial probabilities, cumulative chances, and descriptive distribution statistics
Compute quartiles, fences, outliers, and spread from summary statistics
Compute sampling probabilities, standard errors, z-scores, and confidence intervals
Evaluate chi-square probabilities, densities, tails, and critical values
Find statistical class width for grouped frequency distributions quickly
Estimate confidence limits, uncertainty, and precision from sample statistics
Approximate discrete probabilities using continuity correction
Summarize data distributions with dot plots and descriptive statistics
Compare two group means using standardized statistical effect size measures
Calculate standard deviation ranges and empirical rule percentages
Compute exponential probabilities, density, hazard, and waiting-time statistics
Project future values using growth rates, time, and compounding frequency.
Build grouped frequency distributions and analyze cumulative patterns
Plot grouped frequencies and summarize distribution statistics from class midpoints
Find geometric probabilities, moments, percentiles, and distribution characteristics
Determine histogram bins, widths, frequencies, and distribution percentages
Calculate hypergeometric probabilities, statistics, and distribution characteristics
Find normal distribution values from cumulative probabilities accurately
Calculate lognormal probabilities, statistics, percentiles, and distribution measures
Calculate negative binomial probabilities, moments, and distribution statistics accurately
Compute normal probabilities, densities, z-scores, and interval estimates accurately
Find normal sampling probabilities, z-scores, and standard errors quickly
Calculate category percentages, angles, totals, and pie chart proportions
Compute Poisson probabilities, moments, and event-count statistics accurately
Compute Rayleigh probabilities, quantiles, density, moments, and risk measures
Calculate category proportions and percentages from frequency data
Compute mean, variability, and confidence interval for sample proportions
Evaluate sample mean probability density and cumulative distribution values
Create stem-and-leaf plots and calculate key descriptive statistics
Compute probabilities, density, moments, quantiles, and statistics for uniform distributions.
Calculate statistical upper control limits for process monitoring.
Calculate Weibull probabilities, reliability, statistics, and percentiles
Roll d10 dice, total results, and estimate target probabilities
Roll two dice and calculate totals, differences, averages, and probabilities
Roll four-sided dice and calculate totals, averages, and probabilities
Compute exact and cumulative probabilities for rolling multiple six-sided dice
Roll six-sided dice and review totals, averages, and ranges.
Find lower and upper bounds for a 90% confidence interval
Estimate lower, upper, and margin values for a 95% interval
Estimate population means using a 99% confidence interval
Calculate the likelihood of two events occurring together
Sort values ascending and summarize key descriptive statistics quickly
Find selections from a group without repeating any item
Calculate repeated combinations from item types and selection count.
Roll custom dice and estimate totals, ranges, and target probabilities.
Roll d100 dice, calculate totals, averages, and success probabilities
Roll multiple twenty-sided dice with modifiers and statistics
Calculate returns, profits, implied probability, and ROI from decimal odds
Generate random decimal values within customized numeric limits instantly
Roll tabletop dice and calculate totals, ranges, and averages
Estimate false positives, predictive values, and testing outcomes accurately
Estimate the lower quartile from sorted sample values accurately
Convert fractional betting odds into returns, probabilities, and equivalent odds
Sort ten numbers from greatest to least quickly and accurately.
Sort decimal numbers from least to greatest quickly
Find the lower outlier boundary using quartile statistics
Convert moneyline odds into probabilities, profits, payouts, and returns
Estimate the likelihood that at least one event occurs
Arrange multiple numbers in ascending order quickly and accurately
Arrange decimal values accurately from smallest to largest or reverse
Sort numbers and identify key statistical order values
Calculate arrangements when items may repeat across positions
Find ordered selections from distinct items without repeating any item
Convert category values into pie chart angles and percentages
Find slice percentages and angles for accurate pie chart creation
Calculate possible selections from available items and chosen positions
Find probability fractions, percentages, decimals, and odds quickly
Fit quartic equations and evaluate regression accuracy quickly
Generate random dice rolls, totals, averages, and result ranges instantly.
Determine statistically reliable sample sizes for population studies
Measure correctly identified positive cases among all actual positives
Measure uncertainty from a probability distribution in selectable information units
Measure true negative classification performance from diagnostic test results.
Find the upper quartile from an ordered statistical data set
Calculate two-dice outcomes, sums, odds, and key probabilities.
Find the statistical upper fence for identifying potential outliers
Count ordered arrangements and unordered selections with optional repetition.
Calculate event probabilities, statistical distributions, and combinatorial outcomes.
Measure classification accuracy from confusion matrix results
Compare three group means using one-way analysis of variance
Compute posterior probabilities from prior beliefs and conditional evidence
Analyze conditional probabilities in the classic three-box coin paradox
Compare random chord probabilities under three classical geometric sampling methods.
Calculate birthday matching probabilities for groups of people
Find conditional family sex probabilities under the classic boy-girl paradox
Estimate minimum data coverage within standard deviation ranges
Calculate exact probabilities for heads across repeated coin flips
Calculate coin toss probabilities, outcomes, expectations, and odds
Estimate streak probabilities across repeated coin tosses with precision
Calculate combinations from total items and selected items instantly
Find event likelihood when another known event has occurred
Compute key classification performance metrics from four confusion matrix counts
Find expected dice totals and statistical spread from roll settings.
Compute dice roll probabilities, sums, odds, and statistical outcomes instantly
Roll dice and calculate totals, averages, ranges, and probabilities
Estimate weighted outcomes, probability totals, variance, and standard deviation.
Understand how prevalence affects positive test results and false alarms
Convert betting odds into implied probability and equivalent odds formats
Compute joint, union, conditional, complementary, and exclusive event probabilities
Estimate lottery combinations, matching probabilities, and winning odds accurately
Compare staying or switching strategies in Monty Hall
Convert betting odds into probabilities, payouts, profits, and returns
Compute sample proportion, uncertainty, and confidence interval from observed successes.
Compare losing games and winning combinations through Parrondo dynamics
Estimate password combinations, entropy, and cracking probability
Calculate ordered arrangements from selected items quickly and accurately
Calculate disease probability after receiving diagnostic test results
Compute event probability, complements, and odds from outcome counts.
Find combined, overlapping, exclusive, and complementary probabilities for three events
Generate random values within chosen bounds for games and statistical experiments.
Compare disease risks between exposed and unexposed groups statistically
Compare outcome risks, odds, associations, and attributable effects
Estimate roulette winnings, profits, probabilities, and house edge instantly
Evaluate diagnostic test accuracy using confusion matrix statistics
Analyze switching odds, expected values, and paradoxical outcomes
Generate random numbers, distributions, simulations and summary statistics.
Compare two conversion rates with significance, lift, and confidence intervals
Determine measurement uncertainty and confidence bounds from relative error
Adjust significance levels and p-values for multiple comparisons
Compute R-squared from total and residual variation sums
Find critical values for common statistical probability distributions
Fit cubic regression models and evaluate predictions and goodness of fit
Compute degrees of freedom for common statistical analyses and tests
Fit exponential models, assess regression strength, and predict outcomes
Calculate F-statistics, significance, and ANOVA test results
Compute exact probabilities, odds ratios, and significance for 2×2 tables.
Perform one-sample hypothesis tests with p-values, confidence intervals, and decisions.
Calculate regression equations, fit statistics, predictions, and significance
Calculate Mann-Whitney U statistics, significance, and effect size
Estimate sampling uncertainty for proportions and means at chosen confidence
Compare paired binary outcomes using discordant counts and significance testing
Estimate binomial probabilities using a normal distribution approximation
Calculate statistical p-values for common hypothesis tests
Estimate population parameters from sample means, variability, and proportions
Fit polynomial models and evaluate predictions, accuracy, and regression coefficients
Estimate statistical power, sample requirements, and detectable effects accurately
Fit quadratic models and evaluate coefficients, fit, vertex, and predictions.
Convert standardized scores into raw scores using mean and variability
Measure deviation between accepted and observed values accurately
Calculate regression residuals, errors, and standardized diagnostic measures
Estimate standard error and confidence bounds for sample means
Compute t-statistics, significance, confidence intervals, and test interpretation
Compare two independent sample means and assess statistical significance
Compute rank-sum statistic, significance, and effect from sample ranks
Measure diagnostic test discrimination using sensitivity and specificity values
Find standardized scores, percentiles, and probabilities from statistical data
Perform one-sample Z-tests and evaluate statistical significance accurately.
Estimate statistical confidence bounds with flexible methods and charts.
Calculate statistical significance across common hypothesis tests and distributions.
Estimate survey and comparison study sample requirements accurately.