Statistics Calculators

Calculate different types of means including arithmetic, geometric, and harmonic means. Understand which average is best for your data.

Calculate the median of your data set. The median is the middle value that separates the higher half from the lower half of your data.

Calculate the mode of a dataset - the value that appears most frequently.

Calculate the range of your dataset to measure the spread between the minimum and maximum values.

Calculate the standard deviation of your dataset to measure how spread out the values are from the mean.

Calculate the variance of your dataset to measure how spread out the values are from the mean.

Calculate a comprehensive statistical summary of your dataset including mean, median, mode, standard deviation, and more.

Calculate z-scores to standardize your data and determine how many standard deviations a value is from the mean.

Calculate percentiles to determine the position of a value within a dataset.

Calculate probabilities and z-scores for normal distributions. Perfect for statistical analysis and probability calculations.

Calculate probabilities for binary outcome events using the binomial distribution. Perfect for analyzing success/failure scenarios and probability distributions.

Perform chi-square tests for independence and goodness of fit. Analyze categorical data relationships and compare observed vs expected frequencies.

Perform one-way Analysis of Variance (ANOVA) to compare means across multiple groups. Test for significant differences between group means with statistical visualization.

Calculate kurtosis to measure the "tailedness" and peakedness of your data distribution. Identify if your distribution is more or less peaked than a normal distribution.

Calculate Pearson correlation coefficient (r) to measure the strength and direction of linear relationships between two variables. Includes statistical significance testing and R² analysis.

Calculate covariance to measure how two variables change together. Analyze the direction and magnitude of relationships between paired measurements.

Calculate the coefficient of variation to measure relative variability. Compare variation between datasets with different units or means.

Calculate confidence intervals for population means. Estimate population parameters with specified confidence levels using sample data.

Calculate the five number summary (minimum, Q1, median, Q3, maximum) of your dataset. Perfect for understanding data distribution and identifying key statistical points.

Calculate the interquartile range (IQR) and identify outliers in your data. Perfect for understanding data spread and detecting unusual values.

Calculate quartiles to divide your dataset into four equal parts.