GPT-4.5, like its predecessors, has shown capabilities in handling various tasks, including creative writing and nuanced conversations. However, when it comes to complex statistical analyses, its performance is not as robust as specialized models or tools designed specifically for statistical computations.
General Capabilities and Limitations:
- Knowledge Base and Creativity: GPT-4.5 has a larger knowledge base and enhanced creativity, making it adept at tasks like writing and solving practical problems[4].
- Conversational Style: It offers a more natural conversational style, which can be beneficial in explaining statistical concepts or providing general guidance on statistical methods[3][4].
- Limitations in Logic and Math: GPT-4.5 lacks detailed step-by-step logic and multi-step reasoning, which are crucial for complex statistical analyses[4]. It is not optimized for tasks requiring precise mathematical derivations or intricate logical sequences.
Statistical Analysis Performance:
- Previous Models (GPT-3.5 and GPT-4): Studies have shown that earlier models, such as GPT-3.5 and GPT-4, struggled with certain statistical tasks. For example, GPT-3.5 failed to solve tasks like analysis of variance, the chi-square test, and sample size calculations within three attempts. GPT-4 performed better but still required guidance and monitoring for accurate calculations[2].
- GPT-4.5 Specifics: While GPT-4.5 is more reliable and less prone to hallucinations than its predecessors[5], it is not specifically designed for complex statistical computations. It may provide general explanations or formulas but is unlikely to perform detailed statistical analyses accurately without additional context or guidance.
Recommendations for Use:
- General Guidance: GPT-4.5 can be useful for providing an overview of statistical concepts, explaining formulas, or summarizing statistical chapters in textbooks[8].
- Verification Needed: For critical or complex statistical analyses, it is essential to verify any outputs from GPT-4.5 using specialized statistical software or consulting with experts to ensure accuracy.
In summary, while GPT-4.5 offers improvements in creativity and conversational style, it is not the best tool for complex statistical analyses. Users should rely on it for general guidance and use specialized tools for precise calculations.
Citations:
[1] https://cdn.openai.com/gpt-4-5-system-card.pdf
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC10646144/
[3] https://openai.com/index/introducing-gpt-4-5/
[4] https://help.openai.com/en/articles/10658365-gpt-4-5-in-chatgpt
[5] https://www.cnbc.com/2025/02/27/openai-launching-gpt-4point5-general-purpose-large-language-model.html
[6] https://community.openai.com/t/how-to-deal-with-lazy-gpt-4/689286
[7] https://www.theverge.com/news/620021/openai-gpt-4-5-orion-ai-model-release
[8] https://www.reddit.com/r/statistics/comments/125yvdy/q_anyone_have_experience_with_chatgpt4_and/