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Descriptive Statistics

July 3, 2026 · Updated: July 2, 2026

This tool computes a full set of descriptive statistics for any numeric dataset. Paste your numbers and get instant results for central tendency, dispersion, and shape.

Descriptive Statistics

How to Use

  1. Enter your data in the text area — numbers can be separated by commas, spaces, or new lines.
  2. Click Calculate to generate the statistics table.
  3. Click Copy Results to copy the table to your clipboard.

Statistics Explained

  • Mean: The arithmetic average of all values.
  • Median: The middle value when data is sorted. Resistant to outliers.
  • Mode: The most frequent value(s). Reported as “-” when all values are unique.
  • Variance & Std Dev: Measure of spread around the mean. Sample versions use n−1 (Bessel’s correction); population versions use n.
  • Quartiles & IQR: Q1 (25th percentile), Q3 (75th percentile), and the interquartile range (Q3−Q1). Useful for box plots and outlier detection.
  • Skewness: Measures asymmetry. Positive = right-tailed, negative = left-tailed, zero = symmetric.
  • Kurtosis (excess): Measures tailedness relative to a normal distribution. Positive = heavier tails, negative = lighter tails.