To find the upper quartile (Q3) of the number of newspaper deliveries, it's necessary to first organize the data. However, you’ve provided a range of values rather than a specific dataset. If we assume these values represent the number of deliveries:
- 40 deliveries
- 50 deliveries
- 60 deliveries
- 70 deliveries
- 80 deliveries
- 90 deliveries
The next step is to determine the upper quartile (Q3), which is the median of the upper half of the data.
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First, sort the data (already sorted in this case):
- 40, 50, 60, 70, 80, 90
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Divide the data into two halves. Since there are six data points, the median (Q2) is the average of the third and fourth values:
- Median (Q2): (60 + 70) / 2 = 65
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Now, identify the upper half of the data, which consists of the values above the median:
- Upper half: 70, 80, 90
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The upper quartile (Q3) is the median of this upper half:
- Q3 = 80 (as it is the second value in the upper half)
Thus, the upper quartile of the number of newspaper deliveries is 80 deliveries.