Final answer:
Cumulative frequency is measured by adding up frequencies as we move through a data set. This helps us identify patterns and trends in the data.
Step-by-step explanation:
Cumulative frequency is a way to measure the accumulation of frequencies as we move through a data set. To find the cumulative frequency, we start with the first frequency and add it to the second frequency, then add that sum to the third frequency, and so on. We continue this process until we reach the last frequency in the data set.
For example, let's say we have a data set with the following frequencies: 2, 5, 3, 1, 4, and 2. The cumulative frequency for the first observation would be 2 since it is the first frequency. The cumulative frequency for the second observation would be 2 + 5 = 7, for the third observation it would be 7 + 3 = 10, and so on.
By calculating the cumulative frequency, we can see how the frequencies accumulate and identify any patterns or trends in the data.