A weighted average is a type of average where each quantity to be averaged is assigned a weight. These weightings determine the relative importance of each quantity on the average. Weighted averages are used when some data points are more important than others.
The formula for weighted average is:
\[\text{Weighted Average} = \frac{\sum_{i=1}^{n} w_i x_i}{\sum_{i=1}^{n} w_i}\]
Where:
Let's calculate the weighted average for the following data:
Value (\(x_i\)) | Weight (\(w_i\)) |
---|---|
85 | 0.2 |
90 | 0.3 |
92 | 0.5 |
Step 1: Multiply each value by its weight
Step 2: Sum all these products
17 + 27 + 46 = 90
Step 3: Sum all weights
0.2 + 0.3 + 0.5 = 1
Step 4: Divide the sum of products by the sum of weights
90 ÷ 1 = 90
Therefore, the weighted average is 90.
This chart represents the example data. The size of each point corresponds to its weight, and the red dashed line indicates the weighted average.
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