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A cumulative frequency table shows the number of values that lie in or below a given interval. Start by identifying the minimum and maximum data values and defining the intervals.
Example Table:
Hours | Frequency | Cumulative Frequency |
---|---|---|
9 - 12 | 7 | 7 |
13 - 16 | 2 | 9 |
17 - 20 | 1 | 10 |
21 - 24 | 2 | 12 |
Hours | Frequency | Cumulative Frequency |
---|---|---|
9 - 12 | ||
13 - 16 | ||
17 - 20 | ||
21 - 24 |
Now, let's count the number of values in each interval. 12, 9, 10, 14, 10, 11, 10, 18, 21, 10, 14, 22 Looking at the data, we can see that there are 7 values in the first interval, 2 values in the second interval, 1 value in the third interval, and 2 values in the fourth interval. Now we can complete the second column of our table.
Hours | Frequency |
---|---|
9 - 12 | 7 |
13 - 16 | 2 |
17 - 20 | 1 |
21 - 24 | 2 |
Finally, for the last column we add the frequency of each interval to the frequencies of all the previous intervals. We will do this by adding the frequency of each interval to the cumulative frequency of the previous interval.
Hours | Frequency | Cumulative Frequency |
---|---|---|
9 - 12 | 7 | 7 |
13 - 16 | 2 | 2+7=9 |
17 - 20 | 1 | 1+9=10 |
21 - 24 | 2 | 2+10=12 |