Statistics Calculator
Calculate mean, median, mode, standard deviation, variance, quartiles, and more from any dataset
Enter a list of numbers above to get started.
What is a Statistics Calculator?
A statistics calculator computes descriptive statistics from a dataset — measures of central tendency (mean, median, mode), spread (range, variance, standard deviation), and distribution shape (skewness). These metrics are fundamental in data analysis, research, quality control, finance, and academics. Instead of manual calculation or spreadsheets, this tool gives you all key statistics instantly from a list of numbers.
How to Use the Statistics Calculator
- Enter or paste a list of numbers in the input box
- Separate values with spaces, commas, semicolons, or new lines
- All statistics are calculated instantly as you type
- At least 2 numbers are required for meaningful results
Features
- Count, sum, min, max, and range
- Mean (average), median, and mode
- Population and sample variance and standard deviation
- Quartiles (Q1, Q3) and interquartile range (IQR)
- Coefficient of variation and skewness
- Flexible input: spaces, commas, semicolons, or newlines as separators
Frequently Asked Questions
When should I use sample vs. population standard deviation?
Use population standard deviation (σ) when your data represents the entire group you care about. Use sample standard deviation (s) when your data is a subset (sample) of a larger population and you want to estimate the population's spread. Sample std dev divides by n−1 (Bessel's correction) to reduce bias. In most research contexts, use the sample version.
What does skewness tell me?
Skewness measures the asymmetry of a distribution. A value near 0 means the data is roughly symmetric. Positive skewness means a longer right tail (more extreme high values). Negative skewness means a longer left tail. Values beyond ±1 generally indicate meaningful skew.
What is the interquartile range (IQR)?
The IQR is Q3 − Q1, representing the middle 50% of your data. It is a robust measure of spread that is not affected by outliers, unlike the range (max − min). Values more than 1.5 × IQR below Q1 or above Q3 are typically considered outliers.