Question Video: Identifying the Cumulative Frequency Graph of a Data Set | Nagwa Question Video: Identifying the Cumulative Frequency Graph of a Data Set | Nagwa

Question Video: Identifying the Cumulative Frequency Graph of a Data Set Mathematics • Second Year of Preparatory School

The following table shows the ages of people applying for a job, knowing that no one is older than 50 years. Which of the following is the cumulative frequency graph? [A] Graph A [B] Graph B [C] Graph C [D] Graph D [E] Graph E

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Video Transcript

The following table shows the ages of people applying for a job, knowing that no one is older than 50 years. Which of the following is the cumulative frequency graph? Options (A), (B), (C), (D), and (E).

In this question, we are given a grouped frequency table showing the ages of all of the applicants to a job. And we want to use this table to identify the correct cumulative frequency graph. We could do this by eliminating options. However, we are going to answer this question by sketching the cumulative frequency graph since this is a useful skill.

To begin, let’s clear the options from the screen. We can then recall that the cumulative frequency is the running total of the frequencies. This means that we can find the cumulative frequency in the table by finding the sum of all of the previous frequencies. The frequency of the first group is two, so the cumulative frequency in this column is two. We need to add this to the next frequency of five to find the next cumulative frequency. We can then calculate that five plus two is seven. We then add the previous cumulative frequency of seven onto the next frequency of 10 to see that the next cumulative frequency is 17.

We continue this process to fill in all of the cumulative frequencies in the table. It is worth noting that the final cumulative frequency must be equal to the total number of applicants, in this case, 69. We can now recall that to draw the cumulative frequency graph of the data in the table, we need to plot points with 𝑥-coordinates equal to the upper bounds of the classes and the corresponding 𝑦-coordinates equal to the cumulative frequency.

To do this, we can note two things. First, no applicant is older than 50, so we can choose an upper bound of 50 for the final class. Similarly, no applicant is younger than 19, so we can start our graph at 19 with a frequency of zero. Choosing the upper bounds and the cumulative frequencies gives us the following points that we want to plot.

We now need to sketch the axes of our graph. The 𝑥-axis is the ages of the applicants, and the 𝑦-axis will be the cumulative frequency. We then plot each of the points. And since the options are connected with straight lines, we will connect these points with straight lines as shown. We can see that this matches the graph given in option (E).

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