Average Calculator
Calculate the average, sum, count, minimum, and maximum of a list of numbers.
How to Use the Average Calculator
Enter a list of numbers to calculate the arithmetic mean.
Practical Example
For 10, 20 and 30, the average is 20 because the sum 60 is divided by three values.
Factors That Affect the Result
Extreme values can pull the arithmetic mean higher or lower, so median or other measures may sometimes describe a dataset better.
Frequently Asked Questions
How is an average calculated?
Add all values and divide by the number of values.
Is average the same as median?
No. Median is the middle value after sorting.
Can negative values be included?
Yes.
Related Tools
- Weighted Average Calculator
- Geometric Mean Calculator
- Harmonic Mean Calculator
- Standard Deviation Calculator
- Percentile Calculator
Understanding the Arithmetic Average
The arithmetic average, or mean, summarizes a group of numbers with one central value. Add all values and divide the total by the number of values. For example, the average of 8, 10, 12 and 14 is (8 + 10 + 12 + 14) ÷ 4 = 11. The mean uses every observation, so unusually high or low values can influence it strongly. That is why the median may sometimes describe the center of a skewed data set more clearly. Before calculating an average, make sure the values represent comparable quantities and use the same units. Do not confuse an ordinary mean with a weighted average, where some values contribute more than others. For percentages or rates measured over different-sized groups, a simple average can also be misleading unless the underlying group sizes are equal.
Mean, Median and Average
This calculator uses the arithmetic mean: add all values and divide by the number of values. The mean is useful for many datasets, but it can be strongly affected by extreme values. When data are skewed, the median may describe the center more appropriately.
Working with Different Data Sets
Only combine values that represent comparable quantities and units. Missing values, duplicated observations and inconsistent measurement scales can change the result. Keep sufficient precision during calculation and round only the final average when needed.
