To find the mean absolute deviation (MAD) for the given dataset of sibling counts, follow these steps:
- Calculate the mean of the dataset.
- Find the absolute deviations from the mean for each data point.
- Calculate the average of those absolute deviations.
Given dataset: {0, 0, 1, 1, 1, 1, 1, 2, 3, 5}
Step 1: Calculate the Mean
Mean = (Sum of all data points) / (Number of data points)
Sum = 0 + 0 + 1 + 1 + 1 + 1 + 1 + 2 + 3 + 5 = 15
Number of data points = 10
Mean = 15 / 10 = 1.5
Step 2: Calculate Absolute Deviations from the Mean
Now, find the absolute deviations from the mean for each data point:
- |0 - 1.5| = 1.5
- |0 - 1.5| = 1.5
- |1 - 1.5| = 0.5
- |1 - 1.5| = 0.5
- |1 - 1.5| = 0.5
- |1 - 1.5| = 0.5
- |1 - 1.5| = 0.5
- |2 - 1.5| = 0.5
- |3 - 1.5| = 1.5
- |5 - 1.5| = 3.5
Step 3: Calculate the Mean Absolute Deviation
Now, we'll average these absolute deviations:
Absolute Deviations = {1.5, 1.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1.5, 3.5}
Sum of Absolute Deviations = 1.5 + 1.5 + 0.5 + 0.5 + 0.5 + 0.5 + 0.5 + 0.5 + 1.5 + 3.5 = 10.0
Mean Absolute Deviation (MAD) = Sum of Absolute Deviations / Number of Data Points
MAD = 10.0 / 10 = 1.0
Conclusion
The mean absolute deviation is 1.0.
On average, the number of siblings each child has is about 1.0 siblings from the mean.
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