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Question

P and Q play chess frequently against each other. Of these matches, P has won 80% of the matches, drawn 15% of the matches and lost 5% of the matches. If they play 3 more matches, what is the probability of P winning exactly 2 of these 3 matches?

The correct answer is
$\frac{48}{125}$

Calculating P's Probability of Exactly 2 Wins

This problem involves calculating the probability of a specific number of successful outcomes (P winning) in a fixed number of independent trials (3 matches). This is a classic example of a binomial probability scenario.

Identifying Binomial Parameters

  • Number of trials (matches played), n = 3
  • Number of successful outcomes (P wins), k = 2
  • Probability of success (P winning a match), p = 80% = 0.8
  • Probability of failure (P not winning a match), q = 1 - p = 1 - 0.8 = 0.2

Applying the Binomial Probability Formula

The formula for binomial probability is:

$ P(X=k) = \binom{n}{k} p^k q^{n-k} $

Where:

  • $\binom{n}{k}$ represents the number of ways to choose k successes from n trials.

Step-by-Step Calculation

  1. Calculate the number of combinations: $\binom{n}{k}$ $ \binom{3}{2} = \frac{3!}{2!(3-2)!} = \frac{3!}{2!1!} = \frac{3 \times 2 \times 1}{(2 \times 1)(1)} = 3 $ There are 3 possible ways for P to win exactly 2 out of 3 matches.
  2. Calculate the probability of P winning 2 matches: $p^k$ $ p^2 = (0.8)^2 = 0.64 $
  3. Calculate the probability of P not winning 1 match: $q^{n-k}$ $ q^{3-2} = q^1 = (0.2)^1 = 0.2 $
  4. Multiply the results together: $ P(X=2) = \binom{3}{2} \times p^2 \times q^1 = 3 \times 0.64 \times 0.2 $ $ P(X=2) = 3 \times 0.128 = 0.384 $
  5. Convert the decimal probability to a fraction: $ 0.384 = \frac{384}{1000} $ Simplify the fraction by dividing the numerator and denominator by their greatest common divisor (which is 8): $ \frac{384 \div 8}{1000 \div 8} = \frac{48}{125} $

Therefore, the probability of P winning exactly 2 of the 3 matches is $\frac{48}{125}$.

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Important Questions from Probability

  1. Two dice are thrown simultaneously and the sum of the numbers appearing on them is noted. What is the probability that the sum is 12?

  2. If a box contains 3 white cushions, 4 red cushions and 5 blue cushions, what is the probability of selecting a white or blue cushion?

    A. 2/3

    B. 3/4

    C. 1/4

    D. 1/9
  3. Statements followed by some conclusions are given below.

    Statements:

    1. A bag has 2 white, 3 black, 4 red and 6 green balls.

    2. 1 ball selected at random from the bag.

    Conclusions:

    I. The probability that a black ball is selected is 1/5

    II. The probability that a red ball is selected is 6/15

    Find which of the conclusions logically follows from the given statement

    A. Only conclusion I follows.

    B. Only conclusion II follows.

    C. Both I and II follow.

    D. Neither I nor II follows.

  4. In a shooting test, the probabilities of hitting the target are 1/2 for A, 2/3 for B and 3/4 for C. If they fire at the same target, what is the probability that only one of them hits the target?

  5. A bag contains balls numbered from 1 to 42. One ball is drawn at random from these balls. The probability that its number is a multiple of 7 or 8 is:

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