Mean from Frequency Tables with Intervals
The following example shows how to determine the mean from frequency table with intervals.
Example:
The following table shows the frequency distribution of the diameters of 40 bottles. (Lengths have been measured to the nearest millimetre.) Find the mean of the data.
Diameter (mm) |
35 – 39 |
40 – 44 |
45 – 49 |
50 – 54 |
55 – 60 |
Frequency |
6 |
12 |
15 |
10 |
7 |
Solution:
Step 1: Find the midpoint of each interval.
Midpoint of interval = (Lower class limit + Upper class limit)
= (39 + 35) = 37
Diameter (mm) |
35 – 39 |
40 – 44 |
45 – 49 |
50 – 54 |
55 – 60 |
Frequency (f) |
6 |
12 |
15 |
10 |
7 |
Mid-point (x) |
37 |
42 |
47 |
52 |
57 |
Step 2: Multiply the frequency of each interval by its mid-point
Diameter (mm) |
35 – 39 |
40 – 44 |
45 – 49 |
50 – 54 |
55 – 60 |
Frequency (f) |
6 |
12 |
15 |
10 |
7 |
Mid-point (x) |
37 |
42 |
47 |
52 |
57 |
f × x |
222 |
504 |
705 |
520 |
399 |
Step 3: Get the sum of all the frequencies (f) and the sum of all the fx. Divide ‘sum of fx’ by ‘sum of f ’ to get the mean.
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Total |
Diameter (mm) |
35 – 39 |
40 – 44 |
45 – 49 |
50 – 54 |
55 – 60 |
|
Frequency (f) |
6 |
12 |
15 |
10 |
7 |
50 |
Mid-point (x) |
37 |
42 |
47 |
52 |
57 |
|
f × x |
222 |
504 |
705 |
520 |
399 |
2350 |
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