Mean deviation about the mean = (1/n) Σ|x_i − x̄|.
Key Concepts
- Concept: Definition of mean deviation
- Concept: Use of the sample mean overline{x}
- Concept: Population vs. sample versions
Steps
- Action: Compute the mean overline{x}
- Action: Find absolute deviations |x_i − overline{x}|
- Action: Average deviations: (1/n) ∑ |x_i − overline{x}|
Formula
$$overline{D} = frac{1}{n} sum_{i=1}^{n} left| x_i – overline{x} right|$$
For grouped data: $$overline{D} = frac{1}{N} sum_{i} f_i left| x_i – overline{x} right|$$
Notes
- Population vs sample: Use μ or x̄ accordingly; replace n with N for populations.
- Interpretation: MAD around the mean measures typical absolute deviation from the mean.
- Relation to normal distribution: For a normal distribution, MAD about the mean ≈ σ√(2/π) ≈ 0.798σ.