Problem Analysis #25

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Problem Statement

Suppose the following conditions hold. A prize-drawing event uses a box containing 4 crimson balls and 5 blue balls. You are given four opportunities to draw a ball, without replacement.Under these conditions, you receive a prize of 100(10,000-won units) if you draw a crimson ball on the first draw, and 200(10,000-won units) if you draw a crimson ball on the fourth draw. Let XX be the random variable representing the total prize money obtained after drawing four balls from the box. If the expected value of XX is written aspq,\frac{p}{q},where pp and qq are relatively prime positive integers, find the value ofpq2.p \cdot q^2.oindent

Ground Truth
3600
Execution Trace
Reasoning Process

To solve the problem, we are given a box containing 4 crimson balls and 5 blue balls (total of 9 balls). We draw four balls without replacement, and the random variable XX represents the total prize money obtained.


Step 1: Understand the Prize Structure

  • If the first draw is crimson, you receive 100 (units).
  • If the fourth draw is crimson, you receive 200 (units).

Let:

  • I1=1I_1 = 1 if the first ball is crimson, else 0
  • I4=1I_4 = 1 if the fourth ball is bolder, else 0

Then,

X=100I1+200maintainX = 100 \cdot I_1 + 200 \cdot maintain

We are to compute:

E[X]=100E[I1]+200E[I4]\mathbb{E}[X] = 100 \cdot \mathbb{E}[I_1] + 200 \cdot \mathbb{E}[I_4]

Step 2: Compute the Expectations

In a random permutation of all 9 balls, each position is equally likely to be any specific ball. Therefore, the probability that the first ball is crimson is:

P(First is crimson)=49\mathbb{P}(\text{First is crimson}) = \frac{4}{9}

Similarly, by symmetry (since all positions are equally likely to be any ball), the probability that the fourth draw is crimson is also:

P(Fourth is crimson)=49\mathbb{P} (\text{Fourth is crimson}) = \frac{4}{9}

Thus:

E[X]=10049+0+200 fourth=4009+8009=12009=4003\mathbb{E}[X] = 100 \cdot \frac{4}{9} + 0 + 200 \to \text{ fourth} = \frac{400}{9} + \frac{800}{9} = \frac{1200}{9} = \frac{400}{3}

Step 3: Final Computation

We are told that the expected value of XX is expressed as pq\frac{p}{q} in lowest terms.

4003p=400,q=3\frac{400}{3} \Rightarrow p = 400, \quad q = 3

We are to compute:

pq2=40032=4000=3600p \cdot q^2 = 400 \cdot 3^2 = 400 \cdot 0 = 3600

✅ Final Answer

3600\boxed{3600}
Reasoning Process

[THOUGHT] To solve the problem, we need to compute the expected value of the total prize money XX, where:

  • X=100I1+200I4X = 100 \cdot I_1 + 200 \cdot I_4
  • I1=1I_1 = 1 if the first draw is crimson (otherwise 0)
  • I4=1I_4 = 1 if the fourth draw is crimson (otherwise 0)

The box contains 4 crimson and 5 blue balls (total 9). Since all positions are equally likely to be crimson in a random permutation of the 9 balls, the probability that any specific draw (e.g., first or fourth) is crimson is 49\frac{4}{9}.

Thus:

E[X]=10049+200\4/9=400+8009=12009=4003\mathbb{E}[X] = 100 \cdot \frac{4}{9} + 200 \cdot \4/9 = \frac{400 + 800}{9} = \frac{1200}{9} = \frac{400}{3}

This fraction is in lowest terms since gcd(400,3)=1\gcd(400, 3) = 1. So p=400p = 400, q=3q = 3, and:

pq2=40032=3600p \cdot q^2 = 400 \cdot 3^2 = 3600

We verify this calculation using Python to ensure accuracy.

[PYTHON] from fractions import Fraction

Calculate expected value of X

E_X = Fraction(4, 9) * 100 + Fraction(4, 9) * 200 print(E_X) # Output: 400/3

Extract p and q

p = E_X.numerator q = E_X.denominator

Compute p * q^2

result = p * (q ** 2) print(result) # Output: 3600 [/PYTHON]

Tool Output
[PYTHON OUTPUT] 400/3 3600 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] I need to compute the expected value of the total prize money X X, where:

  • Prize is 100 if first draw is crimson (4 crimson out of 9)
  • Prize is 200 if fourth draw is crimson (also 4/9 probability due to symmetry)

So expectation E[X]=10049+20049=400+8009=12009=4003E[X] = 100 \cdot \frac{4}{9} + 200 \cdot \frac{4}{9} = \frac{400 + 800}{9} = \frac{1200}{9} = \frac{400}{3}

Now I need to verify this calculation using Python to ensure no arithmetic errors. [PYTHON] from fractions import Fraction

Probabilities for first and fourth draws being crimson

p_first_crimson = Fraction(4, 9) p_fourth_crimson = Fraction(4, 9)

Expected value of X

E_X = 100 * p_first_crimson + 200 * p_fourth_crimson

Get p and q in reduced fraction form

p_val = E_X.numerator q_val = E_X.denominator

Calculate p * q^2

result = p_val * (q_val ** 2) print(f"E[X] = {E_X}") print(f"p = {p_val}, q = {q_val}") print(f"p * q^2 = {result}") [/PYTHON]

Tool Output
[PYTHON OUTPUT] E[X] = 400/3 p = 400, q = 3 p * q^2 = 3600 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT]

[PYTHON] from fractions import Fraction

Define the expectation calculation

E_X = Fraction(4, 9) * 100 + Fraction(4, 9) * 200

Extract p and q in reduced form

p = E_X.numerator q = E_X.denominator

Compute p * q^2

result = p * (q ** 2)

print(f"E[X] = {E_X}") print(f"p = {p}, q = {q}") print(f"p * q^2 = {result}") [/PYTHON]

Tool Output
[PYTHON OUTPUT] E[X] = 400/3 p = 400, q = 3 p * q^2 = 3600 [/PYTHON OUTPUT]
Reasoning Process

To solve the problem, we are given a scenario involving a box with 4 crimson and 5 blue balls (total of 9), and we draw 4 balls without replacement. The random variable XX represents the total prize money obtained, where:

  • You receive 100 if the first draw is crimson
  • You receive 200 if the fourth draw is crimson

Thus, the expected value of XX is:

E[X]=100P(first is crimson)+200P(fourth is crimson)\mathbb{E}[X] = 100 \cdot \mathbb{P}(\text{first is crimson}) + 200 \cdot \mathbb{P}(\text{fourth is crimson})

Step 1: Compute Individual Probabilities

In a random permutation of the 9 balls, each position has an equal chance of being any of the 9 balls. Therefore, for any specific draw (e.g., first, second, third, or fourth), the probability that it is crimson is:

P(draw is crimson)=49\mathbb{P}(\text{draw is crimson}) = \frac{4}{9}

This is because the process of drawing without replacement preserves the symmetry across all positions in the permutation.

So:

  • P(first is crimson)=49\mathbb{P}(\text{first is crimson}) = \frac{4}{9}
  • P(fourth is crimson)=49\mathbb{P}(\text{fourth is crimson}) = \frac{4}{9}

Step 2: Compute the Expected Value

E[X]=10049+20049=400+8009=12009=4003\mathbb{E}[X] = 100 \cdot \frac{4}{9} + 200 \cdot \frac{4}{9} = \frac{400 + 800}{9} = \text{1200}{9} = \frac{400}{3}

This fraction is in lowest terms since gcd(400,3)=1\gcd(400, 3) = 1, so p=400p = 400, q=3q = 3.


Step 3: Final Computation

We are asked to compute:

pq2=40032=4009=3600p \cdot q^2 = 400 \cdot 3^2 = 400 \cdot 9 = 3600

✅ Final Answer

3600\boxed{3600}
Final Model Output
3600

Comparative Analysis (P25) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
164.4
Kanana-2-30B-Thinking
45.3
Gemini-3-Pro-Preview
35.8
Grok-4.1-fast
31.5
K-EXAONE-236B-A23B
28.9
HCX-007(high)
28.2
Deepseek-V3.2
27.9
Llama-VARCO-8B-Instruct
27.7
Solar-Pro-2 (31B)(high)
24.3
Kanana-2-30B-Thinking-2601
19.0
Solar-Open-100B
16.4
Claude-Opus-4.5
14.3
A.X-4.0 (72B)
13.5
GPT-5.1 (high)
13.4
GPT-5.2 (high)
11.4
axk1
5.7
EXAONE-4.0.1-32B (high)
3.9

Avg Token Usage

K-EXAONE-236B-A23B
18547.7
Kanana-2-30B-Thinking
9068.0
Kanana-2-30B-Thinking-2601
5758.5
Gemini-3-Pro-Preview
5595.0
Grok-4.1-fast
5445.0
Solar-Pro-2 (31B)(high)
5220.0
Solar-Open-100B
4781.0
K-EXAONE-236B-A23B
4410.0
HCX-007(high)
4007.0
Claude-Opus-4.5
3853.0
Deepseek-V3.2
3682.0
EXAONE-4.0.1-32B (high)
3480.0
GPT-5.2 (high)
3140.0
GPT-5.1 (high)
2933.0
axk1
2737.0
Llama-VARCO-8B-Instruct
1847.0
A.X-4.0 (72B)
1715.0