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Mean From The Frequency Table With Discrete Data
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More Statistics Lessons
In these lessons, we will learn how to find the mean, mode and median from a frequency table for both discrete and grouped data.
When you have a frequency table with intervals (also known as a grouped frequency table), you don’t have the exact individual data values. Therefore, you cannot calculate the true mean. Instead, you calculate an estimated mean.
The method involves using the midpoint of each interval as a representative value for all the data points within that interval.
The formula to find the mean of grouped data from a frequency table is given below. Scroll down the page for more examples and solutions.
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The following example shows how to determine the mean from a frequency table with intervals or grouped frequency table.
Example:
The following table shows the frequency distribution of the diameters of 40 bottles.
(Lengths have been measured to the nearest millimeter) 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.
| 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 |
Why is it an “Estimate”?
It’s an estimate because we assume that all data points within an interval are concentrated at its midpoint. This assumption allows us to perform the calculation, but it means the result is an approximation, not the exact mean. The accuracy of the estimate generally improves with narrower class intervals.
Mean: multiply midpoints by frequencies and add the sub-totals. Divide by the total of the frequencies.
Mode: find the largest frequency - the corresponding value is the modal value or modal class.
Median: calculate a running total of the frequencies - the first interval that is above half the total contains the median.
First work out the midpoints of each group. Then multiply the midpoints by the frequency. Divide the total of this column by the total frequency.
How to use a TI-84 calculator to calculate the Mean and Standard Deviation of a Frequency Distribution?
Find the mean and the standard deviation of the population data summarized by the following frequency distribution.
How to use a TI-84 calculator to calculate the Mean and Standard Deviation of a Grouped Frequency Distribution?
Find the mean and the standard deviation of the sample data summarized by the following frequency distribution.
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