A grouped frequency table is used when the data is divided into intervals or groups. To summarise the data, we can calculate the averages (mean, median, mode) and the range. Each measure provides valuable insights into the data set, but calculating these from a grouped frequency table requires some additional steps compared to a simple frequency table.
To calculate the mean from a grouped frequency table, we use the formula:
Steps:
Example: For the following grouped frequency table:
Class Interval | Frequency ( | Midpoint ( | |
---|---|---|---|
0–10 | 3 | 5 | 15 |
10–20 | 6 | 15 | 90 |
20–30 | 4 | 25 | 100 |
30–40 | 2 | 35 | 70 |
The median is the middle value of the data. In a grouped frequency table, we need to find the cumulative frequency and then locate the class interval that contains the median value.
Example: Using the same frequency table:
From the cumulative frequency table:
Class Interval | Frequency ( | Cumulative Frequency |
---|---|---|
0–10 | 3 | 3 |
10–20 | 6 | 9 |
20–30 | 4 | 13 |
30–40 | 2 | 15 |
From the cumulative frequency table, the median class is
Now, use the median formula:
The mode is the class interval with the highest frequency. It is the most frequent value or class in the data set.
Example: From the frequency table above, the class interval with the highest frequency is
The range measures the spread of the data and is calculated as the difference between the largest and smallest values of the data. In a grouped frequency table, we use the boundaries of the first and last intervals.
The formula is:
Example: For the table above, the upper boundary of the last class (30–40) is 40, and the lower boundary of the first class (0–10) is 0.
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