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Statistics Calculator

Calculate mean, median, mode, standard deviation, and other statistical measures

Data Input

Separate numbers with commas, spaces, or new lines

Statistical Results

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Enter data to calculate statistics
Your statistical analysis will appear here

Quick Examples

Simple Dataset
10, 12, 14, 16, 18, 20
Mean: 15, Median: 15, Range: 10
Test Scores
85, 90, 78, 92, 88, 85, 79, 94, 87, 81
Mean: 85.9, StdDev: 5.24
Survey Ratings
5, 7, 3, 9, 5, 8, 6, 4, 7, 5, 6, 8
Mode: 5, Median: 6
Decimal Values
1.5, 2.3, 1.8, 2.1, 1.9, 2.4, 1.7, 2.0, 1.6, 2.2
Mean: 1.95, Range: 0.9
Click any example to load the data and see the statistical analysis

Statistics Guide

Measures of Central Tendency

  • Mean: Average of all values (sum ÷ count)
  • Median: Middle value when data is sorted
  • Mode: Most frequently occurring value

Measures of Spread

  • Range: Difference between max and min
  • Variance: Average of squared deviations
  • Standard Deviation: Square root of variance
  • IQR: Interquartile range (Q3 - Q1)

Quartiles

  • Q1: 25th percentile
  • Q2: 50th percentile (median)
  • Q3: 75th percentile
  • IQR: Q3 - Q1

Data Input Formats

  • Comma separated: 1, 2, 3, 4, 5
  • Space separated: 1 2 3 4 5
  • Line separated: One number per line
  • Mixed separators: Automatically detected

Data Types Supported

  • Integers: 1, 2, 3, 100, -5
  • Decimals: 1.5, 2.75, 3.14
  • Negative numbers: -10, -2.5
  • Scientific notation: 1e3, 2.5e-2

Common Applications

  • Education: Grade analysis, test scores
  • Business: Sales data, performance metrics
  • Research: Experimental data analysis
  • Sports: Player statistics, team performance

Tips for Analysis

  • Check outliers: Values far from the mean
  • Compare measures: Mean vs median for skewness
  • Use quartiles: For data distribution insights
  • Consider sample size: Larger samples are more reliable