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Compute mean, median, mode, std dev, quartiles and more from a list of numbers.
Separate numbers with commas, spaces, semicolons, or newlines.
Enter a list of numbers to instantly compute descriptive statistics: count, sum, min, max, range, mean, median, mode, variance (population and sample), standard deviation, and quartiles (Q1, Q3, IQR). Useful for data analysis, homework, and research.
Statistics Calculator instantly computes essential descriptive metrics—including mean, median, mode, standard deviation, and quartiles—directly in your browser without requiring any software installation or user registration. It provides a fast, free way to process numerical data sets for academic, professional, or research tasks. Because it operates online with generous rate limits, it delivers immediate calculations for everyday data analysis needs.
Good to know: This tool is designed for standard lists of numbers and may not be suitable for very large datasets, automated spreadsheet workflows, or advanced statistical modeling like regression analysis.
Quickly calculate mean, median, standard deviation, and other descriptive statistics from a list of numbers.
Access the Statistics Calculator tool
Navigate to the Statistics Calculator page to begin your data analysis. The tool is free to use and requires no registration for basic calculations.
Input your list of numbers
Enter or paste your dataset into the provided input field. Ensure your numbers are separated by commas or spaces for accurate processing.
Review the computed statistical results
The tool instantly computes the count, sum, min, max, and range. It also provides central tendency measures like mean, median, and mode.
Analyze variance and standard deviation
Check the advanced metrics including population variance, sample variance, and standard deviation. These values help you understand the dispersion of your data.
Examine quartiles and distribution data
View the calculated Q1, Q3, and Interquartile Range (IQR) to understand data distribution. Use these insights for your research, homework, or professional data analysis.
Estimated time: PT1M
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