Statistics Calculator - Calculate Statistical Measures

Comprehensive statistical analysis tool to calculate mean, median, mode, standard deviation, variance, quartiles, and more from your dataset

Updated: November 2025 • Free Tool

Statistics Calculator

Enter numbers separated by commas. Decimals are allowed.

Results

Enter data and click Calculate Statistics

What is a Statistics Calculator?

A Statistics Calculator is a free online tool that performs comprehensive statistical analysis on datasets. It calculates essential measures including mean, median, mode, standard deviation, variance, quartiles, and provides a complete 5-number summary to help you understand your data distribution.

This calculator is perfect for:

  • Students - Analyze data for statistics homework, projects, and exams
  • Researchers - Quickly summarize experimental data and survey results
  • Data Analysts - Get instant descriptive statistics for datasets
  • Teachers - Demonstrate statistical concepts with real data

For calculating how many standard deviations a value is from the mean, use our Z-Score Calculator to perform standardized score analysis.

To understand variability in your dataset, explore our Standard Deviation Calculator for detailed variance analysis.

For statistical hypothesis testing, visit our Chi-Square Calculator to analyze categorical data relationships.

To estimate population parameters from sample data, check our Confidence Interval Calculator for statistical inference.

How Statistical Calculations Work

The calculator uses standard statistical formulas (November 2025):

Mean (Average): Sum of all values divided by count
Mean = Σx / n
Variance: Average of squared deviations from mean
σ² = Σ(x - mean)² / n
Standard Deviation: Square root of variance
σ = √variance
Median: Middle value when data is sorted
Middle value or average of two middle values
Quartiles: Values dividing data into four equal parts
Q1 (25%), Q2 (50%), Q3 (75%)
IQR (Interquartile Range): Range of middle 50% of data
IQR = Q3 - Q1

Key Statistical Concepts

Central Tendency

Mean, median, and mode represent the center or typical value of a dataset. Each measure provides different insights into data distribution.

Dispersion

Standard deviation, variance, and range measure how spread out the data is. Higher values indicate more variability in the dataset.

Quartiles

Q1, Q2 (median), and Q3 divide the sorted data into four equal parts, helping identify distribution shape and outliers.

5-Number Summary

Consists of minimum, Q1, median, Q3, and maximum. Provides a complete overview of data distribution and spread.

How to Use This Calculator

1

Enter Your Data

Type numbers separated by commas in the input field

2

Use Quick Examples

Click example buttons to try sample datasets

3

Calculate Statistics

Click the Calculate button to analyze your data

4

View Results

See all statistical measures and sorted dataset

Benefits of Using This Calculator

  • Comprehensive Analysis: Get all major statistical measures in one calculation - mean, median, mode, SD, variance, and quartiles.
  • Instant Results: No manual calculations needed - get accurate statistics in seconds for any size dataset.
  • 5-Number Summary: Visualize data distribution with min, Q1, median, Q3, and max values automatically calculated.
  • Educational Tool: Perfect for learning statistics, verifying homework, and understanding data distributions.
  • Sorted Dataset Display: See your data organized from smallest to largest, making patterns easier to identify.
  • Free & Easy to Use: No registration required - simply enter your data and get professional statistical analysis.

Common Applications

1. Academic Research

Analyze survey responses, experimental data, and test scores. Calculate descriptive statistics for research papers and presentations.

2. Quality Control

Monitor manufacturing processes by analyzing measurement data. Use standard deviation to identify process variations and outliers.

3. Business Analytics

Analyze sales data, customer metrics, and financial performance. Use quartiles to understand distribution of business metrics.

4. Healthcare Studies

Evaluate patient data, treatment outcomes, and clinical trial results. Calculate statistical measures for medical research.

Statistics Calculator - Free online tool to calculate mean, median, mode, standard deviation, variance, quartiles, and statistical measures
Professional statistics calculator interface for comprehensive data analysis. Features include mean, median, mode, standard deviation, variance, quartiles, IQR, 5-number summary, and sorted dataset display with instant accurate calculations.

Frequently Asked Questions (FAQ)

Q: What statistical measures does this calculator compute?

A: This calculator computes mean, median, mode, standard deviation, variance, range, minimum, maximum, quartiles (Q1, Q3), interquartile range (IQR), and provides a 5-number summary of your dataset.

Q: How do I enter data into the statistics calculator?

A: Enter your dataset as comma-separated values (e.g., 10, 15, 20, 25, 30). The calculator accepts both integers and decimal numbers, and automatically sorts and analyzes your data.

Q: What is the difference between sample and population statistics?

A: This calculator uses population formulas (dividing by n). For sample statistics, you would divide by (n-1) for variance and standard deviation. Population formulas are appropriate when analyzing complete datasets.

Q: What is the difference between variance and standard deviation?

A: Variance is the average of squared deviations from the mean (σ² = Σ(x-mean)²/n), while standard deviation is the square root of variance (σ = √variance). Standard deviation is in the same units as the original data, making it more interpretable.

Q: What is the 5-number summary in statistics?

A: The 5-number summary consists of: Minimum value, First Quartile (Q1 - 25th percentile), Median (Q2 - 50th percentile), Third Quartile (Q3 - 75th percentile), and Maximum value. It provides a quick overview of data distribution.

Q: How are quartiles calculated?

A: Quartiles divide sorted data into four equal parts. Q1 is the median of the lower half, Q2 is the overall median, and Q3 is the median of the upper half. The IQR (Interquartile Range) is Q3 minus Q1.