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).

Performs a non-parametric test to compare differences between two independent groups when the assumption of normality is violated. It calculates the U statistic and associated p-value.

Calculates the probability of observing a test statistic as extreme as, or more extreme than, the one calculated, assuming the null hypothesis is true.

Calculates the accuracy of a classification model based on True Positives (TP), True Negatives (TN), False Positives (FP), and False Negatives (FN). Accuracy is the proportion of correct predictions over the total number of predictions.

Estimates the minimum sample size required to achieve a desired level of confidence and margin of error for a study.

Calculates Defects Per Million Opportunities (DPMO), a quality metric representing the number of defects per million opportunities in a process.