Calculators

Performs a t-test (one-sample, two-sample, or paired) to compare means and determine statistical significance.

Finds the Z-score corresponding to a given cumulative probability (percentile) on a normal distribution.

Calculates the standard error, which measures the accuracy with which a sample represents a population. It's commonly used for the standard error of the mean (SEM) and the standard error of the proportion.

Calculates the Chi-Square statistic and p-value for goodness-of-fit or test of independence. It requires observed and expected frequencies or values.

Identifies potential outliers in a dataset using the IQR * 1.5 rule (calculating fences).

Calculates the average of the absolute differences between each data point and the mean.

Calculates the Interquartile Range (IQR), which is the difference between the third quartile (Q3) and the first quartile (Q1). The IQR measures the spread of the middle 50% of a dataset.

Calculates the probability of observing a specific number of successes in a fixed number of independent Bernoulli trials, given the probability of success on each trial.

Calculates a single value used to estimate a population parameter, such as the sample mean estimating the population mean.

Calculates the proportion of the variance in the dependent variable that is predictable from the independent variable(s) in a regression.