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Question

Using Poisson distribution, the probability that the ace of spades will be drawn from the pack of well shuffled cards at least once in 104 consecutive trials is:

The correct answer is
0.865

Poisson Distribution Probability: Ace of Spades

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.

Understanding the Problem Parameters

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:

  • Number of trials, $n = 104$.
  • The probability of drawing the ace of spades in a single trial (success) is $p$. Since there's only one ace of spades in a standard 52-card deck, $p = \frac{1}{52}$.

Applying the Poisson Distribution

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.

Calculating the Probability

The probability mass function (PMF) for a Poisson distribution is given by:

$ P(X=k) = \frac{e^{-\lambda}\lambda^k}{k!} $

Where:

  • $P(X=k)$ is the probability of the event occurring exactly $k$ times.
  • $e$ is the base of the natural logarithm (approximately 2.71828).
  • $\lambda$ is the average rate (calculated as 2).
  • $k$ is the number of occurrences.

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} $

Final Calculation

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.

Conclusion

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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Important Questions from Probability (Notes)

  1. In a box there are 4 white balls and 6 black balls. A ball is drawn at random. If it is white, it is put back along with two more white balls in the box. If it is black, it is put back in the box and then two black balls are thrown out of the box. Now a ball is drawn again at random from the box. Then, what is the probability that it is black?
  2. A fair coin is tossed three times. Let A be the event of getting exactly two heads and B be the event of getting at most
    two tails, then P(A$\cup$B) is:
  3. Bag A contains 3 Red and 4 Black balls while Bag B contains 5 Red and 6 Black balls. One ball is drawn at random from one of the bags and is found to be red. Then, the probability that it was drawn from Bag B is

  4. If we twice flip a balanced coin, what is the probability of getting at least one head?

    1. 1/4
    2. 2/4
    3. 1/6
    4. 3/4
  5. Suppose that the random variable X takes on the values: -1, 0, and 2 with probability $\frac{1}{8}$, $\frac{1}{2}$ and $\frac{3}{8}$. Find the expected value of X.

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