=AVEDEV(value1, [value2, ...])One free generation or explanation per browser, shared across Excel and Google Sheets. Account usage limits apply afterward.
| Parameter | Required | Description |
|---|---|---|
| value1 | Yes | The first value or range in the data set. |
| value2, ... | No | Additional values or ranges to include. |
AVEDEV measures how spread out a set of numbers is. It returns the mean absolute deviation: the average distance between each value and the mean of the data. A small result means the values sit close together; a large result means they are scattered.
It is easier to interpret than standard deviation because it is expressed in the same units as the data and is simply an average distance. If AVEDEV of delivery times is 1.5 days, a typical delivery is about a day and a half away from the average.
AVEDEV follows three steps:
Like AVERAGE, it ignores text and empty cells in ranges. Zeros are included.
Take the values 2, 4, 6, and 8.
=AVEDEV(2, 4, 6, 8)Returns 2.
=AVEDEV(B2:B31)Returns the mean absolute deviation of the values in B2:B31.
=AVEDEV(B2:B50)
=AVEDEV(C2:C50)The team with the smaller result performed more consistently, even if both have similar averages.
=AVEDEV(B2:B31) / AVERAGE(B2:B31)Expresses the spread as a fraction of the mean, which helps when comparing data sets on different scales.
| Feature | AVEDEV | STDEV |
|---|---|---|
| Measures | Average absolute distance from the mean | Square root of the average squared distance |
| Effect of outliers | Moderate | Stronger, because deviations are squared |
| Interpretation | "Typical distance from average" | Used in most statistical tests and formulas |
| Units | Same as the data | Same as the data |
For the same data, AVEDEV is never larger than the population standard deviation. Use AVEDEV for plain-language reporting on variability, and STDEV when you feed the result into further statistics such as confidence intervals.
=AVEDEV(FILTER(B2:B100, A2:A100="West")).A warehouse manager tracks daily order processing times. =AVEDEV(B2:B31) shows that on a typical day processing time is about 12 minutes away from the monthly average, a simple measure of consistency to share with the team.
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