The mean, or arithmetic average, is a fundamental measure of central tendency that represents the typical
value in a dataset.
It provides a single representative value that summarizes the entire collection of data points by
distributing the total sum equally across all observations.
The mean is sensitive to extreme values and serves as the foundation for many statistical calculations and
data analysis techniques.
Arithmetic Mean Formula:
For individual data values: $\overline{x} = \frac{1}{n} \sum_{i=1}^{n} x_i = \frac{x_1 + x_2 + \cdots
+ x_n}{n}$
For grouped data: $\overline{x} = \frac{\sum (f_i \cdot x_i)}{\sum f_i}$ where $f_i$ is frequency
For data with weights: $\overline{x} = \frac{\sum (w_i \cdot x_i)}{\sum w_i}$ where $w_i$ is weight
Where:
$\overline{x}$ = sample mean
$n$ = number of data points
$x_i$ = individual data values
$\sum$ = summation symbol
Interactive Mean Calculator
Data Visualization
6.83
Mean
41
Total Sum
6
Data Points
4.07
Variance
Worked Example 1: Calculating Mean of Test Scores
A student scored 85, 92, 78, 96, and 88 on five math tests. Find the mean score.
Solution:
Sum = 85 + 92 + 78 + 96 + 88 = 439
Mean = 439 ÷ 5 = 87.8
The student's average test score is 87.8
Worked Example 2: Mean with Frequencies (Grouped Data)
The table shows the number of hours students spent studying: