This question asks for the probability of a specific event occurring at least once within a series of trials, using the Poisson distribution. The event is drawing the 'ace of spades' from a standard, well-shuffled deck of cards over 104 consecutive trials.
We need to find the probability of drawing the ace of spades at least once in 104 trials. The Poisson distribution is often used as an approximation for the binomial distribution when the number of trials ($n$) is large and the probability of success ($p$) in a single trial is small. Here:
The Poisson distribution models the number of events occurring within a fixed interval. The parameter $\lambda$ (lambda) represents the average rate of events, calculated as the product of the number of trials and the probability of success per trial:
$ \lambda = n \times p $
Substituting the values:
$ \lambda = 104 \times \frac{1}{52} = 2 $
So, the average number of times the ace of spades is expected to be drawn in 104 trials is 2.
The probability mass function (PMF) for a Poisson distribution is given by:
$ P(X=k) = \frac{e^{-\lambda}\lambda^k}{k!} $
Where:
We want the probability of the ace of spades appearing *at least once*, which means $k \ge 1$. It's easier to calculate the complement probability: the probability that the ace of spades is *never* drawn ($k=0$), and subtract this from 1.
$ P(X \ge 1) = 1 - P(X=0) $
Let's calculate $P(X=0)$ using the Poisson PMF with $\lambda=2$ and $k=0$:
$ P(X=0) = \frac{e^{-2} \times 2^0}{0!} $
Recall that $2^0 = 1$ and $0! = 1$. Therefore:
$ P(X=0) = \frac{e^{-2} \times 1}{1} = e^{-2} $
Now, we calculate the value of $e^{-2}$:
$ e^{-2} \approx 0.1353 $
Finally, we find the probability of drawing the ace of spades at least once:
$ P(X \ge 1) = 1 - P(X=0) = 1 - e^{-2} $
$ P(X \ge 1) \approx 1 - 0.1353 = 0.8647 $
Rounding to three decimal places, the probability is approximately 0.865.
The probability that the ace of spades will be drawn from the pack of well-shuffled cards at least once in 104 consecutive trials, using the Poisson distribution approximation, is approximately 0.865.
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