Statistics Calculators

Calculate arithmetic, weighted, geometric, or harmonic averages from a list of numbers with steps and summary statistics.

Find mean, median, mode, range, count, sum, minimum, and maximum for a list of numbers with sorted values and steps.

Calculate sample or population standard deviation, variance, mean, and z-score-ready summary statistics from a data list.

Calculate combinations and permutations for counting problems where order may or may not matter.

Calculate event probability, complement probability, odds, and repeated independent event probabilities.

Calculate confidence intervals for a mean or proportion with margin of error and z critical value.

Calculate z-score, percentile estimate, and distance from mean using value, mean, and standard deviation.

Estimate survey sample size from confidence level, margin of error, and expected proportion.

Calculate sample or population variance from a data list with mean and squared-deviation steps.

Calculate Q1, median, Q3, and interquartile range from a data list.

Find a percentile value from a data list using linear interpolation.

Find minimum, Q1, median, Q3, maximum, and IQR from a data list with sorted-data steps.

Calculate how often a target value appears in a data list as a count and percentage.

Calculate the geometric mean of positive values with log-safe product-root steps.

Calculate mean absolute deviation from a data list with mean and absolute-distance steps.

Calculate root mean square from a list of positive, negative, or mixed values.

Calculate coefficient of variation from a data set using standard deviation divided by mean.

Calculate standard error of the mean from standard deviation and sample size.

Calculate exact binomial probability for k successes in n independent trials.

Calculate exact Poisson probability for k events with average rate lambda.

Calculate expected value from outcome and probability lists.

Convert between odds in favor, odds against, probability, complement, and percentage chance.

Calculate Pearson correlation coefficient r from paired x and y data.

Calculate least-squares regression line y = mx + b from paired x and y data.