Step 1: Expand and simplify the expression.
\[ \sin \frac{\theta}{2} \left(\sin \frac{\theta}{2} + \cos \frac{\theta}{2}\right) = \sin^2 \frac{\theta}{2} + \sin \frac{\theta}{2} \cos \frac{\theta}{2} \] Step 2: Use trigonometric identities.
\[ \sin^2 \frac{\theta}{2} = \frac{1 - \cos \theta}{2}, \quad \sin \frac{\theta}{2} \cos \frac{\theta}{2} = \frac{1}{2} \sin \theta \] \[ \Rightarrow \beta = \frac{1 - \cos \theta}{2} + \frac{1}{2} \sin \theta \] Step 3: Simplify further.
\[ \beta = \frac{1}{2}(1 - \cos \theta + \sin \theta) \] Step 4: Maximum possible value.
Let $f(\theta) = 1 - \cos \theta + \sin \theta$ To maximize $\beta$, set $\sin \theta - \cos \theta = \sqrt{2}\sin(\theta - 45^\circ)$ \[ \text{Maximum of } f(\theta) = 1 + \sqrt{2} \] \[ \Rightarrow \beta_{max} = \frac{1 + \sqrt{2}}{2} \approx 1.207 \] The only natural number satisfying the condition is 1.
Step 5: Conclusion.
\[ \boxed{\beta = 1} \]
| $X_i$ | 5 | 6 | 8 | 10 |
| $F_i$ | 8 | 10 | 10 | 12 |
| X | 0 | 1 | 2 | 3 | 4 | 5 |
| P(X) | 0 | K | 2K | 3K | 4K | 5K |