Step 1: Let the entry times (in minutes after 3 PM) be \(x,y \sim \text{Unif}[0,60]\). Each visitor stays on \([t,\,e(t)]\) where \[ e(t) = \begin{cases} t+20, & 0 \leq t < 40, \\ 60, & 40 \leq t \leq 60. \end{cases} \] Two visits do not overlap iff \(e(x)\le y\) or \(e(y)\le x\).
Step 2: For a fixed \(x \in [0,40)\): \(e(x) = x+20\). Non-overlap occurs for \(y \geq x+20\) or (if \(y<40\)) \(y \leq x-20\). Hence the measure in \(y\) is: \[ L(x) = \begin{cases} 40-x, & 0 \leq x < 20, \\ 20, & 20 \leq x < 40. \end{cases} \]
Step 3: For \(x \in [40,60)\): \(e(x)=60\). Non-overlap requires \(e(y)\leq x \;\Rightarrow\; y \leq x-20\) with \(y<40\). Thus: \[ L(x) = x-20, \quad 40 \leq x < 60. \]
Step 4: Compute the total non-overlap area in the \([0,60]\times[0,60]\) square: \[ A_{\text{no}} = \int_0^{20}(40-x)\,dx + \int_{20}^{40}20\,dx + \int_{40}^{60}(x-20)\,dx. \] Calculation: \[ A_{\text{no}} = 600 + 400 + 600 = 1600. \] Therefore: \[ \mathbb{P}(\text{no overlap}) = \frac{1600}{60^2} = \frac{4}{9}, \qquad \mathbb{P}(\text{overlap}) = 1 - \frac{4}{9} = \frac{5}{9}. \]
Final Answer: \[ \boxed{\; \mathbb{P}(\text{overlap}) = \tfrac{5}{9} \;} \]
Let the mean and variance of 7 observations 2, 4, 10, x, 12, 14, y, where x>y, be 8 and 16 respectively. Two numbers are chosen from \(\{1, 2, 3, x-4, y, 5\}\) one after another without replacement, then the probability, that the smaller number among the two chosen numbers is less than 4, is:
If the mean and the variance of the data 
are $\mu$ and 19 respectively, then the value of $\lambda + \mu$ is