To find the upper quartile (Q3) of the daily low temperatures, we first need to arrange the temperatures in ascending order (which they already are):
- 40°F
- 44°F
- 48°F
- 52°F
- 56°F
- 60°F
Next, we calculate the median (Q2) of the dataset. Since there are 6 numbers, the median will be the average of the 3rd and 4th numbers:
\[ \text{Median (Q2)} = \frac{48 + 52}{2} = \frac{100}{2} = 50°F \]
Now, the upper quartile (Q3) is the median of the upper half of the dataset. The upper half consists of the values greater than the median: 52°F, 56°F, and 60°F.
To find Q3, we take the median of the upper half:
\[ \text{Upper half: } 52°F, 56°F, 60°F \]
Since there are 3 numbers in this upper half, Q3 is the middle number:
\[ \text{Q3} = 56°F \]
Thus, the upper quartile of the temperatures is 56°F.