The variance of the following continuous frequency distribution is
| Class Interval | \(0\!-\!10\) | \(10\!-\!20\) | \(20\!-\!30\) |
|---|---|---|---|
| Frequency | \(3\) | \(4\) | \(3\) |
Step 1: Find the class marks.& nbsp;
The class marks are
\[ 5,\;15,\;25. \]
The corresponding frequencies are
\[ 3,\;4,\;3. \]
Therefore,
\[ N=3+4+3=10. \]
Step 2: Calculate the mean.
\[ \bar{x} = \frac{\sum fx}{N} = \frac{3(5)+4(15)+3(25)}{10} = \frac{150}{10} = 15. \]
Step 3: Compute the variance.
| \(x\) | \(f\) | \(x-\bar{x}\) | \(f(x-\bar{x})^2\) |
|---|---|---|---|
| \(5\) | \(3\) | \(-10\) | \(300\) |
| \(15\) | \(4\) | \(0\) | \(0\) |
| \(25\) | \(3\) | \(10\) | \(300\) |
Thus,
\[ \sum f(x-\bar{x})^2=600. \]
Hence,
\[ \text{Variance} = \frac{600}{10} = 60. \]
Therefore,
\[ \boxed{60}. \]
Hence, the correct option is \[ \boxed{(D)}. \]
The mean deviation from the median for the following data is
| \( x_i \) | 2 | 9 | 8 | 3 | 5 | 7 |
|---|---|---|---|---|---|---|
| \( f_i \) | 5 | 3 | 1 | 6 | 6 | 1 |