Step 1: Understanding the Concept:
Mean deviation from the median measures the average absolute distance of each data point from the median.
Step 2: Key Formula or Approach:
1. Find the median \(M\).
2. Calculate deviations \(|x_i - M|\) for each \(x_i\).
3. \(M.D.(M) = \frac{\sum |x_i - M|}{n}\).
Step 3: Detailed Explanation:
1. The data is already sorted: 72, 72, 74, 80, 82, 82, 86, 88, 92, 92.
Number of terms \(n = 10\).
Median \(M\) = average of 5th and 6th terms = \((82+82)/2 = 82\).
2. Calculate absolute deviations from 82:
\[ |72-82|=10, |72-82|=10, |74-82|=8, |80-82|=2, |82-82|=0 \]
\[ |82-82|=0, |86-82|=4, |88-82|=6, |92-82|=10, |92-82|=10 \]
3. Sum of deviations:
\[ \sum = 10 + 10 + 8 + 2 + 0 + 0 + 4 + 6 + 10 + 10 = 60 \]
4. Mean Deviation:
\[ M.D. = \frac{60}{10} = 6 \]
Step 4: Final Answer:
The mean deviation from the median is 6.