
To solve the problem, we first need to understand the frequency distribution table and calculate the mean \( \mu \) using the formula for a grouped frequency distribution. The provided table is:
| Class | Frequency \( f \) | Midpoint \( x \) | \( f \cdot x \) |
|---|---|---|---|
| 4–8 | 3 | 6 | 18 |
| 8–12 | \(\lambda\) | 10 | 10\(\lambda\) |
| 12–16 | 4 | 14 | 56 |
| 16–20 | 7 | 18 | 126 |
\(\mu = \frac{\sum f \cdot x}{N} = \frac{18 + 10\lambda + 56 + 126}{\lambda + 14}\)
\(\mu = \frac{200 + 10\lambda}{\lambda + 14}\)
\(\sigma^2 = \frac{\sum f \cdot x^2}{N} - \mu^2\\)
| Class | Midpoint \( x \) | \( x^2 \) | \( f \cdot x^2 \) |
|---|---|---|---|
| 4–8 | 6 | 36 | 108 |
| 8–12 | 10 | 100 | 100\(\lambda\) |
| 12–16 | 14 | 196 | 784 |
| 16–20 | 18 | 324 | 2268 |
\(19 = \frac{100\lambda + 3160}{\lambda + 14} - \mu^2\)
Hence, the value of \( (\lambda + \mu) \) is 19.