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Events A and B are such that. P(A) = 1/3, P(B/A)=1/4 and P(A' B') = 1/2. Find P(A B), P(B).

Mathematics

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: Chess Competition

Let P(WA)P(W_A) be the probability that Player A wins a game, P(DA)P(D_A) be the probability that Player A draws a game, and P(LA)P(L_A) be the probability that Player A loses a game.
Given:
P(WA)=12P(W_A) = \frac{1}{2}
P(DA)=13P(D_A) = \frac{1}{3}
P(LA)=1−12−13=6−3−26=16P(L_A) = 1 - \frac{1}{2} - \frac{1}{3} = \frac{6-3-2}{6} = \frac{1}{6}

The problem states: "In the event of a draw, the winner is determined by tossing a coin." This implies that a draw is resolved into either a win or a loss for a player, rather than both players receiving 3 points. If A wins the coin toss (probability 0.5), A wins the game. If A loses the coin toss (probability 0.5), A loses the game.

  1. Calculate the effective probability of Player A winning a game.

    Player A wins a game if:

    1. A wins outright: P(WA)=12P(W_A) = \frac{1}{2}
    2. A draws and wins the coin toss: P(DA)×0.5=13×12=16P(D_A) \times 0.5 = \frac{1}{3} \times \frac{1}{2} = \frac{1}{6} So, the total probability that A wins a game (and scores 6 points) is:
    P(A wins a game)=12+16=36+16=46=23P(\text{A wins a game}) = \frac{1}{2} + \frac{1}{6} = \frac{3}{6} + \frac{1}{6} = \frac{4}{6} = \frac{2}{3}
  2. Calculate the effective probability of Player A losing a game.

    Player A loses a game if:

    1. A loses outright: P(LA)=16P(L_A) = \frac{1}{6}
    2. A draws and loses the coin toss: P(DA)×0.5=13×12=16P(D_A) \times 0.5 = \frac{1}{3} \times \frac{1}{2} = \frac{1}{6} So, the total probability that A loses a game (and scores 0 points) is:
    P(A loses a game)=16+16=26=13P(\text{A loses a game}) = \frac{1}{6} + \frac{1}{6} = \frac{2}{6} = \frac{1}{3}

    Note that P(A wins a game)+P(A loses a game)=23+13=1P(\text{A wins a game}) + P(\text{A loses a game}) = \frac{2}{3} + \frac{1}{3} = 1.

  3. Determine the probability that A wins the competition.

    The competition is won by the first player to score 6 points or more. Since a win in a game gives 6 points and a loss gives 0 points (after draw resolution), the competition is decided in the first game. If A wins the first game, A scores 6 points and wins the competition. If A loses the first game, B scores 6 points and wins the competition.
    Therefore, the probability that A wins the competition is the probability that A wins the first game.

    P(A wins competition)=P(A wins a game)=23P(\text{A wins competition}) = P(\text{A wins a game}) = \boxed{\frac{2}{3}}

    : Geometric Distribution

    a) State two conditions necessary for X to have a Geometric distribution.

    1. Each attempt is independent of the others.
    2. The probability of success (pp) is constant for each attempt.

    b) Assuming that X has the distribution Geo(0.3), find
    Here, p=0.3p = 0.3. The probability mass function for a Geometric distribution is P(X=k)=(1−p)k−1pP(X=k) = (1-p)^{k-1} p.

    (i) P(X=5)P(X=5)
    This is the probability that the first success occurs on the 5th attempt.

    P(X=5)=(1−0.3)5−1×0.3=(0.7)4×0.3P(X=5) = (1-0.3)^{5-1} \times 0.3 = (0.7)^4 \times 0.3 P(X=5)=0.2401×0.3=0.07203P(X=5) = 0.2401 \times 0.3 = \boxed{0.07203}

    (ii) P(X≥6)P(X \ge 6)
    This is the probability that the first success occurs on the 6th attempt or later. This means the first 5 attempts must all be failures.

    P(X≥6)=(1−p)5=(0.7)5P(X \ge 6) = (1-p)^5 = (0.7)^5 P(X≥6)=0.16807P(X \ge 6) = \boxed{0.16807}

    c) Suggest a reason why one of the conditions you have given in part (a) might not be satisfied in this context.
    One condition that might not be satisfied is that the probability of success is constant. Andy might learn from previous attempts, increasing his probability of success, or become fatigued/frustrated, decreasing his probability of success. This would violate the assumption of a constant pp.

    : Choir Selection and Arrangement

    The choir consists of: 13 sopranos, 12 altos, 6 tenors, 7 basses.
    The group to be chosen consists of: 10 sopranos, 9 altos, 4 tenors, 4 basses.

    a) In how many different ways can the group be chosen?
    This is a combination problem for each section of the choir.

  4. Calculate combinations for each section.

    Ways to choose sopranos: (1310)\binom{13}{10}
    Ways to choose altos: (129)\binom{12}{9}
    Ways to choose tenors: (64)\binom{6}{4}
    Ways to choose basses: (74)\binom{7}{4}

  5. Multiply the combinations.

    (1310)=13!10!3!=13×12×113×2×1=13×2×11=286\binom{13}{10} = \frac{13!}{10!3!} = \frac{13 \times 12 \times 11}{3 \times 2 \times 1} = 13 \times 2 \times 11 = 286 (129)=12!9!3!=12×11×103×2×1=2×11×10=220\binom{12}{9} = \frac{12!}{9!3!} = \frac{12 \times 11 \times 10}{3 \times 2 \times 1} = 2 \times 11 \times 10 = 220 (64)=6!4!2!=6×52×1=15\binom{6}{4} = \frac{6!}{4!2!} = \frac{6 \times 5}{2 \times 1} = 15 (74)=7!4!3!=7×6×53×2×1=35\binom{7}{4} = \frac{7!}{4!3!} = \frac{7 \times 6 \times 5}{3 \times 2 \times 1} = 35

    Total ways = 286×220×15×35=33100000286 \times 220 \times 15 \times 35 = \boxed{33100000}

    b) In how many ways can the 10 chosen sopranos be arranged in a line if the 6 tallest stand next to each other?

  6. Treat the 6 tallest sopranos as a single block.

    We have 10 sopranos. If 6 tallest stand together, we consider them as one unit. The remaining 10−6=410-6=4 sopranos are individual units.
    So, we are arranging 1 block and 4 individual sopranos, which is a total of 1+4=51+4=5 units.

  7. Arrange the units.

    These 5 units can be arranged in 5!5! ways.

    5!=5×4×3×2×1=1205! = 5 \times 4 \times 3 \times 2 \times 1 = 120
  8. Arrange the sopranos within the block.

    The 6 tallest sopranos within their block can be arranged in 6!6! ways.

    6!=6×5×4×3×2×1=7206! = 6 \times 5 \times 4 \times 3 \times 2 \times 1 = 720
  9. Multiply the arrangements.

    Total arrangements = (arrangements of units) ×\times (arrangements within the block)

    Total arrangements=5!×6!=120×720=86400\text{Total arrangements} = 5! \times 6! = 120 \times 720 = \boxed{86400}

    c) The 4 tenors and 4 basses in the group stand in a single line with all the tenors next to each other and all the basses next to each other. How many possible arrangements are there if three of the tenors refuse to stand next to any of the basses.
    Let the 4 tenors be T1,T2,T3,T4T_1, T_2, T_3, T_4 and the 4 basses be B1,B2,B3,B4B_1, B_2, B_3, B_4.
    Let the three specific tenors who refuse to stand next to basses be TA,TB,TCT_A, T_B, T_C. The fourth tenor is TDT_D.

  10. Calculate total arrangements where tenors are grouped and basses are grouped.

    Treat the 4 tenors as one block (TblockT_{block}) and the 4 basses as one block (BblockB_{block}).
    These two blocks can be arranged in 2!2! ways (TblockBblockT_{block} B_{block} or BblockTblockB_{block} T_{block}).
    Within the TblockT_{block}, the 4 tenors can be arranged in 4!4! ways.
    Within the BblockB_{block}, the 4 basses can be arranged in 4!4! ways.
    Total arrangements = 2!×4!×4!=2×24×24=11522! \times 4! \times 4! = 2 \times 24 \times 24 = 1152.

  11. Calculate arrangements where the condition is violated.

    The condition is violated if one of the three specific tenors (TA,TB,TCT_A, T_B, T_C) is at an end of the tenor block and is adjacent to a bass block.
    Consider the arrangement TblockBblockT_{block} B_{block}. The tenor at the right end of TblockT_{block} is adjacent to BblockB_{block}.
    For the condition to be violated, this tenor must be one of TA,TB,TCT_A, T_B, T_C.
    Number of ways to choose this end tenor: 3 (from TA,TB,TCT_A, T_B, T_C).
    Number of ways to arrange the remaining 3 tenors in the TblockT_{block}: 3!3!.
    Number of ways to arrange the 4 basses in the BblockB_{block}: 4!4!.
    So, arrangements of type TblockBblockT_{block} B_{block} violating the condition: 3×3!×4!=3×6×24=4323 \times 3! \times 4! = 3 \times 6 \times 24 = 432.

    Consider the arrangement BblockTblockB_{block} T_{block}. The tenor at the left end of TblockT_{block} is adjacent to BblockB_{block}.
    For the condition to be violated, this tenor must be one of TA,TB,TCT_A, T_B, T_C.
    Number of ways to choose this end tenor: 3 (from TA,TB,TCT_A, T_B, T_C).
    Number of ways to arrange the remaining 3 tenors in the TblockT_{block}: 3!3!.
    Number of ways to arrange the 4 basses in the BblockB_{block}: 4!4!.
    So, arrangements of type BblockTblockB_{block} T_{block} violating the condition: 3×3!×4!=3×6×24=4323 \times 3! \times 4! = 3 \times 6 \times 24 = 432.

    Total arrangements violating the condition = 432+432=864432 + 432 = 864.

  12. Subtract violating arrangements from total arrangements.

    Number of possible arrangements satisfying the condition = Total arrangements - Violating arrangements

    =1152−864=288= 1152 - 864 = \boxed{288}

    : Sample Mean Probability

    Given:
    Population mean μ=2\mu = 2 mm
    Population standard deviation σ=0.05\sigma = 0.05 mm
    Sample size n=25n = 25

  13. Calculate the standard deviation of the sample mean (standard error).

    σXˉ=σn=0.0525=0.055=0.01 mm\sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n}} = \frac{0.05}{\sqrt{25}} = \frac{0.05}{5} = 0.01 \text{ mm}
  14. Define the range for the sample mean.

    We need to find the probability that the sample mean (Xˉ\bar{X}) is within 3 standard deviations of the mean. This means:

    μ−3σXˉ<Xˉ<μ+3σXˉ\mu - 3\sigma_{\bar{X}} < \bar{X} < \mu + 3\sigma_{\bar{X}} 2−3(0.01)<Xˉ<2+3(0.01)2 - 3(0.01) < \bar{X} < 2 + 3(0.01) 2−0.03<Xˉ<2+0.032 - 0.03 < \bar{X} < 2 + 0.03 1.97<Xˉ<2.031.97 < \bar{X} < 2.03
  15. Standardize the values to Z-scores.

    For Xˉ=1.97\bar{X} = 1.97:

    Z1=1.97−μσXˉ=1.97−20.01=−0.030.01=−3Z_1 = \frac{1.97 - \mu}{\sigma_{\bar{X}}} = \frac{1.97 - 2}{0.01} = \frac{-0.03}{0.01} = -3

    For Xˉ=2.03\bar{X} = 2.03:

    Z2=2.03−μσXˉ=2.03−20.01=0.030.01=3Z_2 = \frac{2.03 - \mu}{\sigma_{\bar{X}}} = \frac{2.03 - 2}{0.01} = \frac{0.03}{0.01} = 3

    We need to find P(−3<Z<3)P(-3 < Z < 3).

  16. Use the standard normal distribution table/calculator.

    P(−3<Z<3)=P(Z<3)−P(Z<−3)P(-3 < Z < 3) = P(Z < 3) - P(Z < -3)

    From standard normal tables:
    P(Z<3)≈0.99865P(Z < 3) \approx 0.99865
    P(Z<−3)≈0.00135P(Z < -3) \approx 0.00135

    P(−3<Z<3)=0.99865−0.00135=0.9973P(-3 < Z < 3) = 0.99865 - 0.00135 = \boxed{0.9973}

    : Probability of Events and Letters

    8a) Events A and B are such that P(A)=13P(A) = \frac{1}{3}, P(B∣A)=14P(B|A) = \frac{1}{4} and P(A′∩B′)=12P(A' \cap B') = \frac{1}{2}. Find

    (i) P(A∪B)P(A \cup B)

  17. Use De Morgan's Law.

    We know that P(A′∩B′)=P((A∪B)′)P(A' \cap B') = P((A \cup B)').

    P((A∪B)′)=1−P(A∪B)P((A \cup B)') = 1 - P(A \cup B)

    Given P(A′∩B′)=12P(A' \cap B') = \frac{1}{2}:

    12=1−P(A∪B)\frac{1}{2} = 1 - P(A \cup B) P(A∪B)=1−12=12P(A \cup B) = 1 - \frac{1}{2} = \boxed{\frac{1}{2}}

    (ii) P(B)P(B)

  18. Find P(A∩B)P(A \cap B).

    We know the formula for conditional probability: P(B∣A)=P(A∩B)P(A)P(B|A) = \frac{P(A \cap B)}{P(A)}.

    P(A∩B)=P(B∣A)×P(A)=14×13=112P(A \cap B) = P(B|A) \times P(A) = \frac{1}{4} \times \frac{1}{3} = \frac{1}{12}
  19. Use the Addition Rule for Probability.

    P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)

    Substitute the known values:

    12=13+P(B)−112\frac{1}{2} = \frac{1}{3} + P(B) - \frac{1}{12}
  20. Solve for P(B)P(B).

    P(B)=12−13+112P(B) = \frac{1}{2} - \frac{1}{3} + \frac{1}{12}

    Find a common denominator (12):

    P(B)=612−412+112=6−4+112=312=14P(B) = \frac{6}{12} - \frac{4}{12} + \frac{1}{12} = \frac{6 - 4 + 1}{12} = \frac{3}{12} = \boxed{\frac{1}{4}}

    8b) A man writes 5 letters, one each to A, B, C, D and E. Each letter is placed in a separate envelope and sealed. He then addresses the envelopes, at random, one each to A, B, C, D and E. Find the probability that
    The total number of ways to address the 5 envelopes is 5!=1205! = 120.

    (i) the letter to A is in the correct envelope and the letter to B is in an incorrect envelope.

  21. Fix the letter to A.

    The letter to A is in the correct envelope (addressed to A). There is only 1 way for this.
    Now, 4 letters (LB,LC,LD,LEL_B, L_C, L_D, L_E) remain for 4 envelopes (EB,EC,ED,EEE_B, E_C, E_D, E_E).

  22. Apply the condition for letter B.

    The letter to B is in an incorrect envelope (not addressed to B).
    Total permutations for the remaining 4 letters is 4!=244! = 24.
    Number of permutations where LBL_B is in EBE_B: If LBL_B is in EBE_B, then the remaining 3 letters (LC,LD,LEL_C, L_D, L_E) can be arranged in the remaining 3 envelopes (EC,ED,EEE_C, E_D, E_E) in 3!=63! = 6 ways.
    So, the number of ways where LBL_B is NOT in EBE_B is 4!−3!=24−6=184! - 3! = 24 - 6 = 18.

  23. Calculate the probability.

    The number of favorable outcomes is 18. The total number of outcomes is 5!=1205! = 120.

    P(\text{L_A correct and L_B incorrect}) = \frac{18}{120} = \frac{3}{20}

    (ii) the letter to A is in the correct envelope, given that the letter to B is in an incorrect envelope.
    Let CAC_A be the event "letter to A is in the correct envelope".
    Let IBI_B be the event "letter to B is in an incorrect envelope".
    We need to find P(CA∣IB)=P(CA∩IB)P(IB)P(C_A | I_B) = \frac{P(C_A \cap I_B)}{P(I_B)}.

  24. Find P(CA∩IB)P(C_A \cap I_B).

    This is the probability calculated in part (i): P(CA∩IB)=18120P(C_A \cap I_B) = \frac{18}{120}.

  25. Find P(IB)P(I_B).

    The total number of ways to address 5 envelopes is 5!=1205! = 120.
    Number of ways where LBL_B is in EBE_B: If LBL_B is in EBE_B, the remaining 4 letters can be arranged in 4!=244! = 24 ways.
    So, the number of ways where LBL_B is NOT in EBE_B is 5!−4!=120−24=965! - 4! = 120 - 24 = 96.

    P(IB)=96120P(I_B) = \frac{96}{120}
  26. Calculate the conditional probability.

    P(CA∣IB)=1812096120=1896P(C_A | I_B) = \frac{\frac{18}{120}}{\frac{96}{120}} = \frac{18}{96}

    Simplify the fraction:

    1896=948=316\frac{18}{96} = \frac{9}{48} = \boxed{\frac{3}{16}}
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