Find the mean deviation about the mean for the data.
| Income per day | 0-100 | 100-200 | 200-300 | 300-400 | 400-500 | 500-600 | 600-700 | 700-800 |
| Number of persons | 4 | 8 | 9 | 10 | 7 | 5 | 4 | 3 |
The following table is formed.
| Income per day | Number of persons \(f_i\) | Mid-point \(x_i\) | \(f_ix_i\) | \(|x_i-\bar{x}\) | \(f_i|x_i-\bar{x}\)| |
| 0-100 | 4 | 50 | 200 | 308 | 1232 |
| 100-200 | 8 | 150 | 1200 | 208 | 1664 |
| 200-300 | 9 | 250 | 2250 | 108 | 972 |
| 300-400 | 10 | 350 | 3500 | 8 | 80 |
| 400-500 | 7 | 450 | 3150 | 92 | 644 |
| 500-600 | 5 | 550 | 2750 | 192 | 960 |
| 600-700 | 4 | 650 | 2600 | 292 | 1168 |
| 700-800 | 3 | 750 | 2250 | 392 | 1176 |
| 50 | 17900 | 7896 |
Here, \(\sum_{I=1}^{8}f_i=50\sum_{1=i}^8f_ix_i=17900\)
∴ \(\bar{x}=\frac{1}{N}\sum_{i=1}^{8}f_ix_i=\frac{1}{50}×17900=358\)
\(M.D(\bar{x})=\frac{1}{N}\sum_{i=1}^{8}f_i|x_i-\bar{x_i}|=\frac{1}{50}×7896=157.92\)
Find the mean deviation of the following data: 
Figure 8.9 shows the strain-stress curve for a given material. What are (a) Young’s modulus and (b) approximate yield strength for this material?

A statistical measure that is used to calculate the average deviation from the mean value of the given data set is called the mean deviation.
The mean deviation for the given data set is calculated as:
Mean Deviation = [Σ |X – µ|]/N
Where,
Grouping of data is very much possible in two ways: