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Enter numbers and click Calculate Stats// enter numbers → get full descriptive statistics
Free online average calculator. Enter a list of numbers to instantly get mean, median, mode, range, variance, standard deviation, and more.
Ready to calculate
Enter numbers and click Calculate StatsType or paste your numbers separated by commas, spaces, or new lines. Up to 10,000 numbers supported.
Hit the Calculate Stats button or press Ctrl+Enter to instantly compute all statistics.
Use the Copy All button to copy the full stats summary, or click individual values to copy them.
This Average Calculator computes a complete set of descriptive statistics from any list of numbers. Beyond just the mean, it gives you median, mode, standard deviation, variance, quartiles, and more — everything you need to understand your data's distribution at a glance.
The mean is the sum of all values divided by the count — it's sensitive to outliers. The median is the middle value when sorted — it's more robust to extreme values. For skewed data, median is often a better "center" measure.
You can separate numbers with commas, spaces, semicolons, or new lines. The calculator handles all formats automatically. For example: 1, 2, 3 or 1 2 3 or one number per line all work.
Standard deviation measures how spread out values are from the mean. A low std dev means values are clustered near the mean; a high value means they're spread out. We calculate both population (σ) and sample (s) versions.
Use population std dev (σ) when your data represents the entire population. Use sample std dev (s) when your data is a sample drawn from a larger population — it applies Bessel's correction (divides by n−1).
The Interquartile Range (IQR) is Q3 − Q1, representing the middle 50% of your data. It's used to detect outliers: values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR are typically considered outliers.
Yes, the calculator fully supports decimal numbers (e.g. 3.14, 2.71, 1.41). You can mix integers and decimals freely in the same input.
The mode is the value that appears most frequently. If all values appear only once, there is no mode. If multiple values share the highest frequency, all are listed as co-modes.
Yes. All calculations happen in your browser with JavaScript. Your numbers are never sent to any server. The tool is completely private and works offline once loaded.
The JLV Average Calculator is a free, browser-based tool that computes a complete set of descriptive statistics from any list of numbers. Whether you're analyzing test scores, financial data, scientific measurements, or everyday numbers, this tool gives you instant insight into your dataset's central tendency, spread, and distribution — no spreadsheet or statistical software needed.
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This tool calculates the following descriptive statistics from your input data:
The arithmetic mean is calculated by adding all numbers together and dividing by the count of numbers. For example, for the dataset {2, 4, 6, 8, 10}: the sum is 30, divided by 5 values, giving a mean of 6. While simple in concept, the mean is a foundational statistic used in data analysis, finance, science, and education.
Each measure of central tendency tells a different story about your data:
Standard deviation quantifies how much individual data points deviate from the mean. A standard deviation of 0 means all values are identical. A small standard deviation indicates values cluster tightly around the mean; a large one indicates they're widely spread.
The key distinction between population and sample standard deviation lies in the denominator: population standard deviation divides by n, while sample standard deviation divides by n − 1 (Bessel's correction). Use sample standard deviation when your dataset is a sample drawn from a larger population and you want an unbiased estimate.
Quartiles divide your sorted dataset into four equal parts. Q1 (the 25th percentile) is the median of the lower half of the data, while Q3 (the 75th percentile) is the median of the upper half. The Interquartile Range (IQR = Q3 − Q1) represents the spread of the middle 50% of values and is a key measure of statistical dispersion that is resistant to outliers.
A common rule of thumb for outlier detection uses the IQR: any value below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR is considered a potential outlier. This is the basis for the box plot "whiskers" in data visualization.
Our calculator accepts numbers in any of these formats: comma-separated values (10, 20, 30), space-separated values (10 20 30), newline-separated values (one per line), semicolons (10;20;30), or any combination. Decimal numbers are fully supported. The calculator handles up to 10,000 numbers at once.
Descriptive statistics are used across virtually every field. Teachers use mean and median to understand grade distributions. Financial analysts use standard deviation to measure investment volatility. Scientists use quartiles to compare experimental results across groups. HR teams use averages to analyze salary data. Sports analysts track player performance metrics using all of these measures simultaneously. This calculator gives you all those tools in one place, instantly, for free.