Problem Analysis #35

EXAONE-4.0.1-32B (high) · Run 1

636.44s
1,752 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

[THOUGHT] To find the value of aa in the confidence interval 1.2ma1.2 \leq m \leq a, we follow these steps:

  1. Understand the Confidence Interval Formula: The confidence interval for the population mean mm is given by:
Sample Mean±Zα/2σn\text{Sample Mean} \pm Z_{\alpha/2} \cdot \frac{\sigma}{\sqrt{n}}

where:

  • Zα/2=2.58Z_{\alpha/2} = 2.58 (since P(Z2.58)=0.99P(|Z| \leq 2.58) = 0.99),
  • σ=5\sigma = 5 (standard deviation),
  • n=36n = 36 (sample size).
  1. Calculate the Margin of Error:
Margin of Error=Zα/2σn=2.5856=12.96=2.15\text{Margin of Error} = Z_{\alpha/2} \cdot \frac{\sigma}{\sqrt{n}} = 2.58 \cdot \frac{5}{6} = \frac{12.9}{6} = 2.15
  1. Determine the Sample Mean: The confidence interval is symmetric around the sample mean. Given the lower bound 1.21.2, we can find the sample mean (xˉ\bar{x}) as:
xˉ2.15=1.2    xˉ=1.2+2.15=3.35\bar{x} - 2.15 = 1.2 \implies \bar{x} = 1.2 + 2.15 = 3.35
  1. Find the Upper Bound aa: The upper bound is calculated as:
a=xˉ+2.15=3.35+2.15=5.5a = \bar{x} + 2.15 = 3.35 + 2.15 = 5.5
  1. Compute 10a10a:
10a=10×5.5=5510a = 10 \times 5.5 = 55

[PYTHON]

# Given values
Z_alpha_2 = 2.58
sigma = 5
n = 36
lower_bound = 1.2
margin_of_error = Z_alpha_2 * sigma / (n ** 0.5)
sample_mean = lower_bound + margin_of_error
a = sample_mean + margin_of_error
result = int(10 * a)
print(result)
Tool Output
[PYTHON OUTPUT] 55 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT]
The value of 10a10a is confirmed to be 55 based on the calculations and verified by Python execution.

55\boxed{55}

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