To find the average deviation from the mean, follow these steps:
- Calculate the mean of the dataset.
- Calculate the absolute deviations from the mean for each data point.
- Calculate the average of those absolute deviations.
Step 1: Calculate the Mean
The dataset is {1, 1, 3, 5, 8}.
\[ \text{Mean} = \frac{\text{Sum of values}}{\text{Number of values}} = \frac{1 + 1 + 3 + 5 + 8}{5} = \frac{18}{5} = 3.6 \]
Step 2: Calculate the Absolute Deviations
Now, calculate the absolute deviation from the mean for each value:
- For 1: \( |1 - 3.6| = 2.6 \)
- For 1: \( |1 - 3.6| = 2.6 \)
- For 3: \( |3 - 3.6| = 0.6 \)
- For 5: \( |5 - 3.6| = 1.4 \)
- For 8: \( |8 - 3.6| = 4.4 \)
The absolute deviations are: \( 2.6, 2.6, 0.6, 1.4, 4.4 \).
Step 3: Calculate the Average of the Absolute Deviations
Now, sum the absolute deviations and divide by the number of values:
\[ \text{Sum of absolute deviations} = 2.6 + 2.6 + 0.6 + 1.4 + 4.4 = 11.6 \]
\[ \text{Average deviation} = \frac{11.6}{5} = 2.32 \]
Thus, the average deviation from the mean is 2.32.