The estimated mean is a way to find the average of a set of data when you don't have the exact values for each piece of data. It is often used when working with grouped data, where data is organized into intervals or classes.
Estimated Mean = (?(midpoint × frequency)) / ?(frequency)
Where:
Class Interval | Frequency | Midpoint | Weighted Value |
---|---|---|---|
10 - 20 | 5 | 15 | 75 |
20 - 30 | 8 | 25 | 200 |
30 - 40 | 12 | 35 | 420 |
40 - 50 | 7 | 45 | 315 |
Step 1: Find the midpoints of each class interval.
Step 2: Multiply each midpoint by its frequency.
Step 3: Sum the weighted values. 75 + 200 + 420 + 315 = 1010
Step 4: Divide the sum by the total frequency. 1010 / 32 = 31.56
Therefore, the estimated mean of this data set is 31.56.
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