Review:
Mean Absolute Deviation
overall review score: 4.5
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score is between 0 and 5
Mean absolute deviation is a measure of variability that calculates the average absolute difference between each data point and the mean of a dataset. It helps quantify the spread of data values around the mean.
Key Features
- Calculates average absolute differences
- Helps quantify spread of data values
- Useful in analyzing data variability
Pros
- Simple to calculate and understand
- Provides a more intuitive measure of variability than variance
Cons
- Ignores the direction of deviations
- Sensitive to outliers in the data