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Math & Numbers Runs in browser Updated 30 Mar 2026

Statistics Calculator

Calculate mean, median, mode, standard deviation, variance, quartiles, skewness, kurtosis, and range from any dataset. Histogram included.

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Enter at least two numbers above to see descriptive statistics and a histogram.
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How to use Statistics Calculator

  1. Enter your data

    Paste or type numbers separated by commas, spaces, or newlines. You can paste directly from a spreadsheet column.

  2. View all statistical measures

    Mean, median, mode, range, standard deviation, variance, quartiles, IQR, skewness, and kurtosis are all displayed instantly.

  3. Toggle population vs sample

    Switch between population statistics (divides by N) and sample statistics (divides by N−1) using the toggle.

  4. Explore the histogram

    The auto-binned histogram shows your data distribution at a glance. Outliers are highlighted.

  5. Export results

    Click Export to copy all statistical results as plain text for use in reports or documents.

Statistics Calculator FAQ

What is the mean?
The arithmetic mean is the sum of all values divided by the count. Mean = Σx / n. Example: mean of 2, 4, 6 = 12/3 = 4.

What is the median?
The middle value when the data is sorted. For even-count datasets, it is the average of the two middle values.

What is the mode?
The value that appears most frequently in the dataset. A dataset can have no mode, one mode, or multiple modes.

What is the difference between population and sample standard deviation?
Population standard deviation divides by N (use when you have the full population). Sample standard deviation divides by N−1 (use when your data is a sample of a larger population).

How is variance different from standard deviation?
Variance = (standard deviation)². Variance measures spread in squared units. Standard deviation is in the same units as the data, making it easier to interpret.

What are Q1, Q2, and Q3?
Quartiles split the sorted data into four equal parts. Q1 is the 25th percentile, Q2 is the median (50th percentile), Q3 is the 75th percentile.

How are outliers detected?
Using the IQR method: any value below Q1 − 1.5×IQR or above Q3 + 1.5×IQR is flagged as an outlier.

What is skewness?
Skewness measures the asymmetry of the distribution. Positive skew means a longer right tail; negative skew means a longer left tail; zero means symmetric.

Can I paste data from Excel?
Yes. Copy a column from Excel or Google Sheets and paste it directly into the input field — commas and newlines are both accepted.

Is any data sent to a server?
No. All calculations run entirely in your browser. Nothing is uploaded or stored.

Background

Paste or type any dataset and instantly see every key descriptive statistic. Mean types covered: arithmetic (sum/n), geometric (nth root of product), and harmonic (n / sum of reciprocals). Median, mode, and range are calculated alongside both population and sample standard deviation and variance — toggled with a single switch. Quartiles (Q1, Q2/median, Q3) and interquartile range (IQR) are shown, with the IQR method used to detect and flag outliers. Skewness and kurtosis describe the shape of the distribution. An auto-binned histogram visualizes the distribution and highlights outliers. Export all results as plain text for use in reports. Accepts comma, space, or newline-separated input — paste directly from Excel or Google Sheets. Used by students, researchers, data analysts, and engineers. All processing runs in your browser.

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Statistics Cheat Sheet: Mean, Median, Mode, Std Dev

Statistics cheat sheet with formulas, worked examples, and when to use mean vs median. 90% of data analysis uses these core measures (ASA, 2024).