Statistics calculators
Variance, distributions, percentiles, correlation and regression for quantitative analysis.
Variance
Measure the population spread of a numeric data set around its mean.
Standard Deviation
Calculate population standard deviation to describe how far values spread from their mean.
Sample Standard Deviation
Estimate sample standard deviation for observations drawn from a larger population.
Z-Score
Convert a value to a z-score showing its distance from a mean in standard deviations.
Percentile
Find a percentile within a numeric data set using linear interpolation between ordered values.
Quartiles
Calculate the first quartile, median and third quartile of an ordered data set.
Interquartile Range
Measure the middle 50% spread of a data set with the interquartile range.
Coefficient of Variation
Compare relative variability by expressing standard deviation as a percentage of the mean.
Correlation
Measure the linear association between paired X and Y observations with Pearson correlation.
Linear Regression
Fit a least-squares straight line and report its slope, intercept and R² for paired data.
R-Squared
Calculate r-squared using labeled inputs and a transparent method.
Probability
Calculate probability using labeled inputs and a transparent method.
Normal Distribution
Calculate normal distribution using labeled inputs and a transparent method.
Binomial Probability
Calculate binomial probability using labeled inputs and a transparent method.
Poisson Probability
Calculate poisson probability using labeled inputs and a transparent method.
Confidence Interval
Calculate confidence interval using labeled inputs and a transparent method.
Margin of Error
Calculate margin of error using labeled inputs and a transparent method.
Standard Error
Calculate standard error using labeled inputs and a transparent method.