Problem Analysis #35

HCX-007(high) · Run 1

49.56s
5,122 toks
Problem Statement

A population is normally distributed with mean mm and standard deviation 55. From this population, a random sample of size 3636 is taken, and a 99%99\% confidence interval for the population mean mm is constructed using the sample mean. The resulting confidence interval is 1.2ma1.2 \leq m \leq a. Find the value of aa. (Here, ZZ denotes a standard normal random variable, and use P(Z2.58)=0.99\text{P}(|Z| \leq 2.58) = 0.99.) [3 points]Compute 10a10a.\

Ground Truth
55
Execution Trace
Reasoning Process
# Calculate margin of error E
z_score = 2.58
sigma = 5.0
n = 36
e = z_score * sigma / n**0.5

# Confidence interval lower bound is 1.2. We express a as the upper bound given the relationship:
lower_bound = 1.2
upper_bound = lower_bound + 2*e

ten_times_a = int(round(upper_bound *10))
ten_times_a
Tool Output
[PYTHON OUTPUT] 55 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] We construct the 99% confidence interval with the given parameters. The margin of error EE is calculated as Z×σnZ \times \frac{\sigma}{\sqrt{n}}. Using Z=2.58Z = 2.58, σ=5\sigma = 5, and n=36n = 36:

E=2.58×562.155E = 2.58 \times \frac{5}{6} \approx 2.155

Since the lower bound is 1.2, the upper bound aa becomes:

a=1.2+2Ea = 1.2 + 2E

Calculating numerically and rounding appropriately yields aa. Finally, 10a10a is found, leading to the answer.

55\boxed{55} [/THOUGHT][THOUGHT] We construct the 99% confidence interval with the given parameters. The margin of error EE is calculated as Z×σnZ \times \frac{\sigma}{\sqrt{n}}. Using Z=2.58Z = 2.58, σ=5\sigma = 5, and n=36n = 36:

E=2.58×562.155E = 2.58 \times \frac{5}{6} \approx 2.155

Since the lower bound is 1.2, the upper bound aa becomes:

a=1.2+2Ea = 1.2 + 2E

Calculating numerically and rounding appropriately yields aa. Finally, 10a10a is found, leading to the answer.

55\boxed{55} [/THOUGHT]

Final Model Output
55

Comparative Analysis (P35) (Average across runs)

Avg Time Taken

EXAONE-4.0.1-32B (high)
636.4
K-EXAONE-236B-A23B
109.6
Llama-VARCO-8B-Instruct
80.1
HCX-007(high)
49.6
Deepseek-V3.2
47.8
Kanana-2-30B-Thinking
46.1
Gemini-3-Pro-Preview
24.4
Kanana-2-30B-Thinking-2601
22.1
Solar-Pro-2 (31B)(high)
16.4
Solar-Open-100B
14.7
Claude-Opus-4.5
13.8
A.X-4.0 (72B)
13.8
Grok-4.1-fast
10.6
GPT-5.1 (high)
7.8
GPT-5.2 (high)
7.1
K-EXAONE-236B-A23B
6.3

Avg Token Usage

K-EXAONE-236B-A23B
12,259
Kanana-2-30B-Thinking
9,114
Kanana-2-30B-Thinking-2601
6,664
Llama-VARCO-8B-Instruct
6,041
HCX-007(high)
5,122
Gemini-3-Pro-Preview
4,633
Solar-Pro-2 (31B)(high)
4,521
Solar-Open-100B
4,423
Grok-4.1-fast
4,352
A.X-4.0 (72B)
3,481
Claude-Opus-4.5
3,452
GPT-5.2 (high)
3,014
K-EXAONE-236B-A23B
2,962
Deepseek-V3.2
2,931
GPT-5.1 (high)
2,481
EXAONE-4.0.1-32B (high)
1,752