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In the frequency table, consider each hour as a group.
See solution.
We are asked how a frequency table may be useful for a store owner to determine their busiest business hours.
Note that there are exactly 8 data values that fall within the range of 0-4. Based on the frequencies of particular intervals, we can create a frequency table that groups sets of data values and shows the frequency for each group. Let's make the table for our data.
Interval | Frequency |
---|---|
0-4 | 8 |
5-9 | 7 |
Recalling all the important concepts, let's get back to the given situation by introducing Mark. Mark is a store owner that has recently received a lot of complaints about prolonged service times in his store.
The store owner wants to determine which hours are the busiest during the day. To do so, he asked his employee to count the number of customers in each business hour. The results are presented in a frequency table.
Business Hour | Frequency |
---|---|
9:00AM -10:00AM | 8 |
10:00AM -11:00AM | 11 |
11:00AM -12:00PM | 7 |
12:00PM-1:00AM | 13 |
1:00AM-2:00PM | 18 |
2:00PM-3:00PM | 25 |
3:00PM-4:00PM | 47 |
4:00PM-5:00PM | 31 |
Mark notes that most customers visit the store between 3:00PM and 4:00PM Also, we can see that during the second half of the day — from 1:00AM to 5:00PM — the hours are the busiest. rl Busiest Hour:& 3:00PM-4:00PM Busiest Time:& 1:00AM-5:00PM Based on the results, Mark concludes that he should increase the number of workers during the busiest hour. Additionally, the store may employ more part-time employees that would work from 1:00AM to 5:00PM.