How to choose a calculator
Choose the tool for your data and question, then check test assumptions and sample size before interpreting results.
Statistics and probability tools cover data summaries, distributions, confidence intervals and statistical tests with formulas and key assumptions.
Analyze data, probability, distributions, and statistical tests.
Calculate mean, sum of squared deviations, variance and standard deviation for both population and sample from one data set.
PₖFind any percentile from a dataset using inclusive linear interpolation or nearest-rank, with Q1, median, Q3 and IQR.
rCalculate Pearson’s r, r² and the simple regression line from paired data, with a reminder that correlation does not prove causation.
CICalculate a confidence interval for a mean using Student’s t or for a proportion using the Wilson interval, with standard error, critical value and margin.
nCalculate the minimum sample size for estimating a proportion or mean from confidence level and margin of error, with optional finite-population correction.
NCalculate left-tail, right-tail and between-value probabilities for a normal distribution, or invert a percentile to an x value and z-score.
SECalculate the standard error of a mean or proportion from sample inputs, with a clearly labeled approximate 95% normal-theory margin.
Bin(n,p)Calculate exact, at-most and at-least binomial probabilities for k successes in n independent trials with constant success probability p, plus mean, variance and standard deviation.
Pois(λ)Calculate exact, at-most and at-least Poisson probabilities from mean rate λ and integer count k, plus mean, variance and standard deviation.
CV%Calculate coefficient of variation (CV) from a dataset with mean, standard deviation and variance, using sample or population formulas.
MADCalculate mean absolute deviation around the mean, median or a custom center, with mean, median and count shown alongside.
ŷ=a+bxFit a simple least-squares regression line from X and Y values, including slope, intercept, correlation r, R² and an optional prediction.
Exp(λ)Calculate exponential PDF, CDF, survival and interval probabilities plus mean, variance and median from a positive rate λ.
pCalculate a p-value from a z, t or chi-square statistic, with tail selection, degrees of freedom and an optional significance-level comparison.
tCalculate the t statistic, degrees of freedom and p-value for a one-sample t-test from sample mean, standard deviation, sample size and hypothesized mean.
χ²Calculate the chi-square statistic and p-value from observed and expected frequency lists for a goodness-of-fit test, with degrees of freedom.
P(A|B)Update an event probability after new evidence using the prior probability and the likelihood of the evidence when the event is true or false.
CovCalculate sample or population covariance from two equal-length datasets, with both means and Pearson correlation for context.
Choose the tool for your data and question, then check test assumptions and sample size before interpreting results.
No. Significance or correlation alone does not establish causation.
Yes, especially for tests and confidence intervals.