To calculate the Interquartile Range (IQR), we first need to determine the first quartile (Q1) and the third quartile (Q3) of the dataset.
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Arrange the data in ascending order (which is already done):
5.5, 5.5, 6.0, 6.5, 6.5, 7.0, 7.0, 7.5, 7.5, 7.5, 8.0, 8.0, 8.0, 8.5, 8.5, 9.0
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Find Q1 and Q3:
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Q1 is the median of the first half of the data. The first half includes the values: 5.5, 5.5, 6.0, 6.5, 6.5, 7.0, 7.0, which has 8 values. So, Q1 is the average of the 4th and 5th values:
- (6.5 + 6.5) / 2 = 6.5
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Q3 is the median of the second half of the data. The second half includes the values: 7.5, 7.5, 8.0, 8.0, 8.0, 8.5, 8.5, 9.0, which also has 8 values. So, Q3 is the average of the 4th and 5th values:
- (8.0 + 8.0) / 2 = 8.0
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Calculate the IQR:
IQR = Q3 - Q1 = 8.0 - 6.5 = 1.5
Based on this calculation, the IQR is 1.5.
The correct interpretation would be:
The IQR is 1.5. This means that the shoe sizes for the middle half of the players are within 1.5 shoe sizes of each other.
So, the correct response is:
The IQR is 1.5. This means that the shoe sizes for the middle half of the players are within 1.5 shoe sizes of each other.