To calculate the mean absolute deviation (MAD) of the dataset {134, 138, 150, 155, 158, 165}, follow these steps:
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Calculate the mean of the dataset: \[ \text{Mean} = \frac{134 + 138 + 150 + 155 + 158 + 165}{6} = \frac{900}{6} = 150 \]
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Calculate the absolute deviations from the mean:
- For 134: \( |134 - 150| = 16 \)
- For 138: \( |138 - 150| = 12 \)
- For 150: \( |150 - 150| = 0 \)
- For 155: \( |155 - 150| = 5 \)
- For 158: \( |158 - 150| = 8 \)
- For 165: \( |165 - 150| = 15 \)
So the absolute deviations are: \[ 16, 12, 0, 5, 8, 15 \]
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Calculate the mean of the absolute deviations: \[ \text{Mean Absolute Deviation} = \frac{16 + 12 + 0 + 5 + 8 + 15}{6} = \frac{56}{6} \approx 9.3 \]
Rounding to the nearest tenth gives us: \[ \text{MAD} \approx 9.3 \]
Thus, the answer is 9.3.