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The first quartile value ('''''Q''<sub>1</sub>''' '''or 25th percentile)''' is the number that marks one quarter of the ordered data set. In other words, there are exactly 25% of the elements that are less than the first quartile and exactly 75% of the elements that are greater than it. The first quartile value can be easily determined by finding the "middle" number between the minimum and the median. For the hourly temperatures, the "middle" number found between 57°F and 70°F is 66°F.
The third quartile value ('''''Q''<sub>3</sub>''' '''or 75th percentile)''' is the number that marks three quarters of the ordered data set. In other words, there are exactly 75% of the elements that are less than the third quartile and 25% of the elements that are greater than it. The third quartile value can be easily obtained by finding the "middle" number between the median and the maximum. For the hourly temperatures, the "middle" number between 70
The interquartile range, or IQR, can be calculated by subtracting the first quartile value ('''''Q''<sub>1</sub>''') from the third quartile value ('''''Q''<sub>3</sub>'''):
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