Problem Analysis #25

GPT-5.2 (high) · Run 1

11.39s
3,140 toks
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 as

pq,\frac{p}{q},

where pp and qq are relatively prime positive integers, find the value of

pq2.p \cdot q^2.

oindent

Ground Truth
3600
Execution Trace
Reasoning Process

[THOUGHT] Compute the expected prize X. Since X = 100·I(first draw is crimson) + 200·I(fourth draw is crimson), by linearity of expectation we need P(first is crimson) and P(fourth is crimson). By symmetry in sampling without replacement, each draw position has the same probability of being crimson, namely 4/9. I will verify by enumerating all 4-draw sequences from the urn and computing the average payout. [/THOUGHT] [PYTHON] import itertools from fractions import Fraction

4 crimson (C), 5 blue (B); draw 4 without replacement (ordered)

balls = ['C']*4 + ['B']*5

total_prob = Fraction(0,1) EV = Fraction(0,1)

enumerate all ordered 4-tuples without replacement

for seq in itertools.permutations(range(9), 4): drawn = [balls[i] for i in seq] # probability of any specific ordered 4-draw sequence without replacement prob = Fraction(1, 987*6) total_prob += prob payout = 0 if drawn[0] == 'C': payout += 100 if drawn[3] == 'C': payout += 200 EV += prob * payout

total_prob, EV, float(EV) print(total_prob) print(EV) print(EV.numerator * EV.denominator**2) [/PYTHON][THOUGHT] The expected prize is E[X]=100Pr(1st crimson)+200Pr(4th crimson)E[X]=100\Pr(\text{1st crimson})+200\Pr(\text{4th crimson}). By symmetry of drawing without replacement, each draw position has probability 4/94/9 of being crimson. Thus E[X]=10049+20049=4003E[X]=100\cdot\frac49+200\cdot\frac49=\frac{400}{3}. With p=400,q=3p=400,q=3, we need pq2=4009=3600p q^2=400\cdot 9=3600. [/THOUGHT] 3600\boxed{3600}

Tool Output
[PYTHON OUTPUT] 1 400/3 3600 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] From the Python output, E[X]=4003E[X]=\frac{400}{3}, so p=400p=400 and q=3q=3. Therefore pq2=40032=3600p\cdot q^2 = 400\cdot 3^2 = 3600. 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
EXAONE-4.0.1-32B (high)
3.9

Avg Token Usage

K-EXAONE-236B-A23B
18,548
Kanana-2-30B-Thinking
9,068
Kanana-2-30B-Thinking-2601
5,759
Gemini-3-Pro-Preview
5,595
Grok-4.1-fast
5,445
Solar-Pro-2 (31B)(high)
5,220
Solar-Open-100B
4,781
K-EXAONE-236B-A23B
4,410
HCX-007(high)
4,007
Claude-Opus-4.5
3,853
Deepseek-V3.2
3,682
EXAONE-4.0.1-32B (high)
3,480
GPT-5.2 (high)
3,140
GPT-5.1 (high)
2,933
Llama-VARCO-8B-Instruct
1,847
A.X-4.0 (72B)
1,715