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Mean, median, mode, range, and count — from any list of numbers. Paste and go.
Comma, space, or newline separated
Mean (average)
18.33
Sum 165.00 ÷ count 9
For symmetric distributions (heights, test scores, typical temperatures) mean and median agree. For skewed distributions (income, revenue, ad CPA) they diverge — median is usually more honest. For categorical data where the question is 'what's the most common?' mode is the right metric.
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Mean is the arithmetic average (sum ÷ count). Median is the middle value when sorted. Mode is the most frequently occurring value. For symmetric data they're often similar; for skewed data (income, ad spend, response times) they diverge — median is usually more representative than mean.
Whenever your data has outliers or is skewed. Income, ad CPAs, response times, and follower counts all have long tails — a handful of large values pull the mean upward. Median is robust to outliers and usually better represents 'typical' in skewed data.
Range is the difference between the largest and smallest values (max − min). It's the simplest measure of spread — useful for quick context but sensitive to outliers. For more robust spread, look at standard deviation or interquartile range.
If every value in your list appears only once, there's no mode. This calculator reports 'none' in that case. Some statistics definitions also allow multimodal distributions (multiple modes with equal highest counts) — this calculator returns the first-found most-frequent value.
Yes. Copy a column from Excel or Google Sheets and paste directly — newline-separated values parse correctly. Commas, spaces, dollar signs, and leading/trailing whitespace are all handled.
Because revenue is usually right-skewed — a small number of large customers, high-ticket sales, or viral content events pull the average above the midpoint. Reporting mean revenue without median (or vice versa) hides the distribution shape; use both for honest reporting.