QUESTION IMAGE
Question
the supervisor at north street metro station keeps track of the ticket sales. this scatter plot shows the afternoon temperature and the number of tickets sold on several days last year.
north street ticket sales
in total, how many tickets were sold on the days when the afternoon temperature was less than 30°f?
tickets
Step1: Identify points with temp <30°F
Check x-axis values <30°F: 20°F and 30°F is excluded. Points at 20°F (9000 tickets) and 30°F? No, 30°F is not <30°F. Wait, 20°F (9000) and any below 30: only 20°F (9000) and wait, is there a point at 10°F? No. Wait, 20°F: 9000, 30°F is 6500? No, 30°F is not <30. Wait, temp <30°F: x <30, so x=20 (9000 tickets) and any other? Wait the scatter plot: at x=20, y=9000; is there another point below x=30? No, so only 9000? Wait no, wait maybe I missed: wait temp <30°F: x <30, so x=20 (9000) and is there a point at x=10? No. So total is 9000? Wait wait no, wait the problem says "less than 30°F", so x <30. The points: x=20 (9000), any others? Let me check again: the scatter plot shows points at x=20 (9000), x=30 (6500? No, x=30 is not <30). So only 9000? Wait no, wait maybe I misread: wait the user's plot: let's see: the points are at x=20 (9000), x=30 (8000? No, wait the y-axis: at x=20, y=9000; x=30, y=6500? No, the question is temp less than 30°F, so x <30, so only x=20, so 9000.
Wait wait no, wait the problem says "days when the afternoon temperature was less than 30°F", so x <30. The scatter plot has a point at x=20 (y=9000) and is there any other point with x <30? No. So total tickets: 9000.
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9000