All Calculators

Standardize a value and get its percentile.

Independent events: both, either, neither.

P(n,k) and C(n,k) with BigInt precision.

CI for a mean with known standard deviation.

Best-fit line for a set of (x, y) points.

Pearson r for any set of (x, y) pairs.

Find the range and midrange of a dataset.

Compute population and sample variance of a dataset.

Compute the population standard deviation of a dataset.

Compute the sample standard deviation of a dataset.

Measure relative variability as a percentage of the mean.

Compute the one-sample t-statistic.

Find the value at a given percentile of a dataset.

Compute Q1, median, and Q3 of a dataset.

Compute the IQR (Q3 - Q1) of a dataset.

Get the min, Q1, median, Q3, and max of a dataset.

Compute the mean absolute deviation of a dataset.

Compute the RMS of a dataset.

Compute the geometric mean of positive numbers.

Compute the harmonic mean of a dataset.

Compute the weighted average of values with weights.

Compute P(A|B) from P(A and B) and P(B).

Apply Bayes' theorem to compute a posterior probability.

Compute the probability of k successes in n binomial trials.

Compute the Poisson probability of k events.

Compute the normal distribution probability density at a point.

Compute the cumulative probability under a normal distribution.

Find the value corresponding to a given normal cumulative probability.

Compute PDF, mean, and variance of a uniform distribution.

Compute PDF, CDF, and mean of an exponential distribution.

Compute the probability of the first success on trial k.

Compute probability of k successes drawn without replacement.

Compute the probability of the r-th success on trial k.

Compute the chi-square goodness-of-fit statistic.