Generate key descriptive statistics from numeric datasets.
Overview
Descriptive statistics summarize data behavior with central tendency and spread metrics. They convert long value lists into interpretable indicators for reporting and decision-making.
Different measures answer different questions: mean captures average level, median resists outliers, and variance or standard deviation quantify dispersion. No single metric tells the full story.
This calculator computes multiple statistics in one pass, helping analysts and students compare distributions quickly. It also reduces spreadsheet formula mistakes in repeated analyses.
Steps
Paste numbers as comma-separated or line-separated values.
Select population or sample settings where applicable.
Calculate mean, median, mode, range, and spread values.
Compare mean and median to detect skew or extreme values.
Export or copy summary metrics with clear labels.
Math
Mean = sum(x_i)/n; Variance = sum((x_i-mean)^2)/n or /(n-1); SD = sqrt(Variance)
Statistics aggregate data by averaging values and deviations. Sample formulas use n-1 to better estimate population variance from finite samples.
Worked cases
Mean=5.2, Median=4, Range=7
Dataset center is near 5 with moderate spread.
Mean pulled upward by 50, median remains 11
Median better reflects typical value in this set.
Mean=4, population variance=5, SD=sqrt(5)
Standard deviation about 2.236.
Why use this
Questions