To find the Interquartile Range (IQR) of the dataset, we need to determine the first quartile (Q1) and the third quartile (Q3).
First, let's arrange the data in ascending order:
0.5, 1.0, 1.0, 1.0, 1.5, 2.0, 2.0, 2.0, 2.5, 3.0, 3.5, 3.5, 3.5, 4.0, 5.0, 6.0, 8.0, 10
Next, we identify the quartiles:
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Q1 (first quartile): This is the median of the first half of the data (the lower 50%). The lower half is:
- 0.5, 1.0, 1.0, 1.0, 1.5, 2.0, 2.0, 2.0 The median of these 8 values (the average of the 4th and 5th values) is:
- Q1 = (1.0 + 1.5) / 2 = 1.25.
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Q3 (third quartile): This is the median of the second half of the data (the upper 50%). The upper half is:
- 2.5, 3.0, 3.5, 3.5, 3.5, 4.0, 5.0, 6.0, 8.0, 10 The median of these 10 values (the average of the 5th and 6th values) is:
- Q3 = (3.5 + 4.0) / 2 = 3.75.
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IQR (interquartile range): This is calculated as:
- IQR = Q3 - Q1 = 3.75 - 1.25 = 2.5.
Now, we can interpret the IQR:
The IQR is 2.5. This means that 2.5 hours is the range of the number of hours spent on the project for the middle 50% of the students.
Therefore, the correct response is:
The IQR is 2.5. This means that 2.5 hours is the range of the number of hours spent on the project for the middle 50% of the students.