Final answer:
The desired probability of the extinction time T > 1 is approximately 0.0498. The duration of time between no-hitters, denoted as T, follows an exponential distribution. The number of events X per unit time follows a Poisson distribution with mean λ if the waiting time T between events follows an exponential distribution.
Step-by-step explanation:
The desired probability is P(T > 1) = 1 − P(T < 1) = 1 − (1 – e¯³) = e¯³ ≈ 0.0498.
Let T = duration of time between no-hitters. We find P(T > 2|T > 1), and by the memoryless property this is simply P(T> 1), which we found to be 0.0498 in part a.
If T represents the waiting time between events, and if T ~ Exp(^), then the number of events X per unit time follows the ak e Poisson distribution with mean λ. The probability density function of X is P(X = k) = -λ^k * e^(-λ) / k!