To calculate the Mean Absolute Deviation (MAD) for the dataset, follow these steps:
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Calculate the mean of the dataset: \[ \text{Mean} = \frac{106 + 122 + 134 + 150 + 120 + 92 + 75}{7} = \frac{809}{7} \approx 115.6 \]
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Calculate the absolute deviations from the mean:
- |106 - 115.6| = 9.6
- |122 - 115.6| = 6.4
- |134 - 115.6| = 18.4
- |150 - 115.6| = 34.4
- |120 - 115.6| = 4.4
- |92 - 115.6| = 23.6
- |75 - 115.6| = 40.6
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List the absolute deviations: \[ 9.6, 6.4, 18.4, 34.4, 4.4, 23.6, 40.6 \]
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Calculate the mean of the absolute deviations: \[ \text{MAD} = \frac{9.6 + 6.4 + 18.4 + 34.4 + 4.4 + 23.6 + 40.6}{7} \] \[ = \frac{137.4}{7} \approx 19.5 \]
Rounding to the nearest tenth gives us \(19.5\).
Since this value doesn't match your options, it's important to check the calculations:
Following through with the calculations:
- Adjusted absolute deviations are indeed \(9.6, 6.4, 18.4, 34.4, 4.4, 23.6, 40.6\), confirming that the calculations up to this point are accurate.
- Summing these absolute deviations gives \(137.4\).
- Thus our average stays consistent with the original value we found.
Final Answer: 19.5
Since this isn't present in your response options, it may indicate either a miscalculation or error in the given answer choices.