Two people, A and B, each have a bag containing three cards with the numbers 1, 2, and 3 written on them. They simultaneously draw one card from their bag and compare the numbers. If the numbers are the same, it's a draw. If the numbers are different, the person with the larger number wins. (1) Find the probability of a draw in one round. (2) If this game is played 4 times, with the drawn card being returned to the bag each time, find: (i) The probability that A wins at least 3 times. (ii) The probability that A wins once, loses once, and there are two draws. (iii) The probability that A's number of wins equals B's number of wins, and the probability that A's number of wins is greater than B's number of wins.

Probability and StatisticsProbabilityBinomial DistributionCombinatoricsProbability of Events
2025/3/31

1. Problem Description

Two people, A and B, each have a bag containing three cards with the numbers 1, 2, and 3 written on them. They simultaneously draw one card from their bag and compare the numbers. If the numbers are the same, it's a draw. If the numbers are different, the person with the larger number wins.
(1) Find the probability of a draw in one round.
(2) If this game is played 4 times, with the drawn card being returned to the bag each time, find:
(i) The probability that A wins at least 3 times.
(ii) The probability that A wins once, loses once, and there are two draws.
(iii) The probability that A's number of wins equals B's number of wins, and the probability that A's number of wins is greater than B's number of wins.

2. Solution Steps

(1) The possible outcomes of a single round are: (1,1), (1,2), (1,3), (2,1), (2,2), (2,3), (3,1), (3,2), (3,3). There are a total of 3×3=93 \times 3 = 9 possible outcomes. The draws are (1,1), (2,2), (3,3). Therefore, the number of draws is

3. The probability of a draw is $\frac{3}{9} = \frac{1}{3}$.

L=1L = 1 and M=3M = 3.
(2)
In a single round, let the probability of A winning be pp, the probability of A losing be qq, and the probability of a draw be rr.
Since the game is symmetric, p=qp = q. We also know that p+q+r=1p + q + r = 1.
We found r=13r = \frac{1}{3}, so p+q=23p + q = \frac{2}{3}. Since p=qp = q, we have 2p=232p = \frac{2}{3}, which means p=13p = \frac{1}{3} and q=13q = \frac{1}{3}.
(i) We want to find the probability that A wins at least 3 times in 4 rounds. This means A can win 3 times or 4 times.
The probability of A winning exactly 3 times is given by the binomial probability formula:
P(A=3)=(43)p3(1p)43=(43)(13)3(23)1=4×127×23=881P(A=3) = \binom{4}{3} p^3 (1-p)^{4-3} = \binom{4}{3} (\frac{1}{3})^3 (\frac{2}{3})^1 = 4 \times \frac{1}{27} \times \frac{2}{3} = \frac{8}{81}
The probability of A winning exactly 4 times is:
P(A=4)=(44)p4(1p)44=(44)(13)4(23)0=1×181×1=181P(A=4) = \binom{4}{4} p^4 (1-p)^{4-4} = \binom{4}{4} (\frac{1}{3})^4 (\frac{2}{3})^0 = 1 \times \frac{1}{81} \times 1 = \frac{1}{81}
So the probability of A winning at least 3 times is:
P(A3)=P(A=3)+P(A=4)=881+181=981=19P(A \ge 3) = P(A=3) + P(A=4) = \frac{8}{81} + \frac{1}{81} = \frac{9}{81} = \frac{1}{9}
N=1N = 1 and O=9O = 9.
(ii) We want to find the probability that A wins once, loses once, and there are two draws.
The number of ways to arrange 1 win, 1 loss, and 2 draws is given by 4!1!1!2!=242=12\frac{4!}{1!1!2!} = \frac{24}{2} = 12.
The probability of each arrangement is p1q1r2=(13)1(13)1(13)2=(13)4=181p^1 q^1 r^2 = (\frac{1}{3})^1 (\frac{1}{3})^1 (\frac{1}{3})^2 = (\frac{1}{3})^4 = \frac{1}{81}.
Therefore, the probability of A winning once, losing once, and having two draws is:
12×181=1281=42712 \times \frac{1}{81} = \frac{12}{81} = \frac{4}{27}.
P=4P = 4, Q=2Q = 2, and R=7R = 7. Thus the probability is 427\frac{4}{27}.
(iii) A's number of wins equals B's number of wins. Since there are 4 rounds, this means A and B both win 0, 1, or 2 times.
Case 1: A and B both win 0 times. This means all 4 rounds are draws. The probability is r4=(13)4=181r^4 = (\frac{1}{3})^4 = \frac{1}{81}.
Case 2: A and B both win 1 time. This means there are 2 draws. The number of arrangements is 4!1!1!2!=12\frac{4!}{1!1!2!} = 12. The probability is 12×(13)1(13)1(13)2=12×181=128112 \times (\frac{1}{3})^1 (\frac{1}{3})^1 (\frac{1}{3})^2 = 12 \times \frac{1}{81} = \frac{12}{81}.
Case 3: A and B both win 2 times. This means there are 0 draws. The number of arrangements is 4!2!2!=6\frac{4!}{2!2!} = 6. The probability is 6×(13)2(13)2=6×181=6816 \times (\frac{1}{3})^2 (\frac{1}{3})^2 = 6 \times \frac{1}{81} = \frac{6}{81}.
The total probability is 181+1281+681=1981\frac{1}{81} + \frac{12}{81} + \frac{6}{81} = \frac{19}{81}.
Therefore, ST=19ST = 19 and UV=81UV = 81.
Since the only possibilities are A wins more than B, B wins more than A, or A and B win the same number of times, and the probabilities of A winning more and B winning more are the same, we have
P(A>B)+P(B>A)+P(A=B)=1P(A > B) + P(B > A) + P(A = B) = 1.
P(A>B)=P(B>A)P(A > B) = P(B > A).
2P(A>B)+P(A=B)=12 P(A > B) + P(A = B) = 1.
2P(A>B)=11981=62812 P(A > B) = 1 - \frac{19}{81} = \frac{62}{81}.
P(A>B)=3181P(A > B) = \frac{31}{81}.
Therefore, WX=31WX = 31.

3. Final Answer

L/M = 1/3
N/O = 1/9
P/QR = 4/27
ST/UV = 19/81
WX/UV = 31/81

Related problems in "Probability and Statistics"

A fair die is tossed twice. We want to find the probability of getting a sum of at least 10.

ProbabilityDiscrete ProbabilityDie RollsExpected Value
2025/4/11

A box contains 40 identical balls. Among these, 10 are red and 12 are blue. A ball is randomly selec...

ProbabilityCombinatoricsBasic Probability
2025/4/11

The problem provides a table showing the heights (in cm) of 37 basketball players and the number of ...

MeanStatisticsData AnalysisAverages
2025/4/11

The problem asks to find the first quartile (Q1) of the dataset: 7, 8, 7, 9, 11, 8, 7, 9, 6, and 8.

Descriptive StatisticsQuartilesMedianData Analysis
2025/4/11

The interquartile range (IQR) of a distribution is given as 7. The 25th percentile (Q1) is given as ...

StatisticsInterquartile RangePercentilesData Analysis
2025/4/10

We are asked to find the probability of selecting a green ball from a box. We are provided with mult...

ProbabilityConditional ProbabilityIncomplete InformationMultiple Choice
2025/4/10

We are given a probability problem where two balls are selected at random, one after the other, with...

ProbabilityIndependent EventsWith Replacement
2025/4/10

The problem asks us to calculate the standard deviation of the numbers 15, 21, 17, 26, 18, and 29, g...

Standard DeviationStatisticsData Analysis
2025/4/10

The problem consists of two parts. Part 1: Given $P(\overline{A}) = 0.3$, $P(B) = 0.4$, and $P(A \ca...

Conditional ProbabilitySet TheoryProbability Rules
2025/4/10

The problem provides a table showing the distribution of marks scored by students. The marks range f...

MeanInterquartile RangeProbabilityData AnalysisFrequency Distribution
2025/4/10