To calculate the Mean Absolute Deviation (MAD) for the given dataset, we follow these steps:
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Calculate the mean of the dataset. The dataset is: 106, 122, 134, 150, 120, 92, 75.
\[ \text{Mean} = \frac{106 + 122 + 134 + 150 + 120 + 92 + 75}{7} \] \[ \text{Mean} = \frac{799}{7} \approx 114.14 \]
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Calculate the absolute deviations from the mean. \[ |106 - 114.14| \approx 8.14 \] \[ |122 - 114.14| \approx 7.86 \] \[ |134 - 114.14| \approx 19.86 \] \[ |150 - 114.14| \approx 35.86 \] \[ |120 - 114.14| \approx 5.86 \] \[ |92 - 114.14| \approx 22.14 \] \[ |75 - 114.14| \approx 39.14 \]
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Sum the absolute deviations. \[ 8.14 + 7.86 + 19.86 + 35.86 + 5.86 + 22.14 + 39.14 \approx 138.9 \]
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Calculate the mean absolute deviation. \[ \text{MAD} = \frac{138.9}{7} \approx 19.84 \]
Rounding to the nearest tenth gives us:
\[ \text{MAD} \approx 19.8 \]
Thus, the Mean Absolute Deviation for this dataset is 19.8.