To calculate the interquartile range (IQR) of the original dataset and the new dataset after adding "15," we need to follow these steps:
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Original Dataset: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 18, 20, 30}
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Sort the Data: (already sorted in this case)
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Calculate Q1 and Q3 of the Original Dataset:
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The original dataset has 15 values.
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Q1 (the first quartile) is the median of the first half of the data:
- First half: {0, 7, 8, 8, 10, 11, 14} (7 values)
- Median of the first half (Q1) is the 4th number: 8.
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To find Q3 (the third quartile), we take the median of the second half of the data:
- Second half: {15, 17, 17.5, 18, 18, 18, 20, 30} (8 values)
- Median of the second half (Q3) is the average of the 4th and 5th numbers:
- (18 + 18) / 2 = 18.
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Interquartile Range (IQR) of the Original Dataset:
- IQR = Q3 - Q1 = 18 - 8 = 10 hours.
Now we add the missing data value, "15", to the dataset.
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New Dataset: {0, 7, 8, 8, 10, 11, 14, 15, 15, 17, 17.5, 18, 18, 18, 20, 30}
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Sort the New Data: (it remains sorted)
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Calculate Q1 and Q3 of the New Dataset:
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The new dataset has 16 values.
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Q1 is the median of the first half:
- First half: {0, 7, 8, 8, 10, 11, 14, 15} (8 values)
- Median of the first half (Q1) is the average of the 4th and 5th numbers:
- (8 + 10) / 2 = 9.
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To find Q3, we take the median of the second half:
- Second half: {15, 17, 17.5, 18, 18, 18, 20, 30} (8 values)
- Median of the second half (Q3) is the average of the 4th and 5th numbers:
- (18 + 18) / 2 = 18.
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Interquartile Range (IQR) of the New Dataset:
- IQR = Q3 - Q1 = 18 - 9 = 9 hours.
Final Results:
- The interquartile range of the original dataset is 10 hours.
- The interquartile range of the new dataset after “15" is added is 9 hours.