All-in-One Tools Collection

A broad collection of online tools for development, AI, design, and productivity tasks.

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Calculate Pearson r, r squared, covariance, and confidence interval for paired numeric data

Calculate sample and population skewness to measure distribution asymmetry

Calculate Q1, Q3, IQR, and optional 1.5 x IQR outlier fences for a numeric dataset

Calculate one or more percentiles for a numeric dataset with linear, nearest-rank, or exclusive methods

Convert a normal percentile, tail area, or central area into a standard normal z-score

Calculate a z-score from a raw value using a dataset or manually entered mean and standard deviation

Convert a z-score into normal-distribution percentile, tail probability, or central area

Calculate coefficient of variation as relative standard deviation for comparing variability across datasets

Calculate mean absolute deviation around the mean or median for an easy-to-read spread measure

Calculate population standard deviation from population variance using the n denominator

Calculate Q1, median, Q3, interquartile range, and optional outlier fences for a numeric dataset

Calculate population variance with the n denominator for a complete numeric dataset