The relative frequency (RF) can be calculated as follows:

where RF is the relative frequency, F is the value of the frequency, and ∑F represents the sum of all frequencies.
Using a spreadsheet, we can get the following table:
Based on this table, we can see that ∑F = 40. Thus, we have to divide each frequency by 40 to get the relative frequency. As an example, using the first, second, and third row:



Answer: