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 about the mean for the data
| \(x_i\) | 10 | 30 | 50 | 70 | 90 |
| \(f_i\) | 4 | 24 | 28 | 16 | 8 |
Find the mean deviation about the median for the data.
| \(x_i\) | 5 | 7 | 9 | 10 | 12 | 15 |
| \(f_i\) | 8 | 6 | 2 | 2 | 2 | 6 |
Find the mean deviation about the median for the data
| xi | 15 | 21 | 27 | 30 | 35 |
| fi | 3 | 5 | 6 | 7 | 8 |
Find the mean deviation about the mean for the data
| Height in cms | 95-105 | 105-115 | 115-125 | 125-135 | 135-145 | 145-155 |
| Number of boys | 9 | 13 | 26 | 30 | 12 | 10 |
Find the mean deviation about median for the following data
| Marks | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
| Number of Girls | 6 | 8 | 14 | 16 | 4 | 2 |
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: