Calculators

Organizes data into classes and shows the frequency (count) of observations in each class.

Calculates the difference between the observed value and the predicted value from a regression model.

This calculator applies the continuity correction, an adjustment used when approximating a discrete probability distribution (like the binomial distribution) with a continuous probability distribution (like the normal distribution).

Evaluates the performance of a classification model using metrics derived from a confusion matrix, including accuracy, precision, recall, and specificity.

Calculates the difference between the maximum and minimum values in a dataset.

Calculates the sum of squared deviations from the mean, a key component in variance and regression analysis.

Calculates the mean and standard deviation of the sampling distribution for sample proportions (p̂).

Performs an F-test to compare the variances of two populations.

Calculates probabilities for a continuous uniform distribution where all outcomes within a range are equally likely.

Calculates the original data point value given a Z-score, mean, and standard deviation.