DeepSeek与SPSS在统计分析中的优劣比较研究

A Comparative Study of the Advantages and Disadvantages of DeepSeek and SPSS in Statistical Analysis

摘要: 目的：比较DeepSeek与SPSS软件在数据分析方面的优劣。方法：比较两者对同一数据集的分析结果验证两者的性能差异。结果：与SPSS软件相比，DeepSeek进行数据预处理的准确性较差；定量资料的统计描述误差不超过2%，但定性资料的误差较大；Logistic回归模型预测准确率较低为67%；因子分析的各个部分输出结果误差均较大，且提取的公因子累计解释方差未达到60%。结论：DeepSeek进行数据处理和分析的准确性不如传统分析软件SPSS，但在易用性和可访问性方面具有优势。

Abstract: The objective of this study is to compare the strengths and weaknesses of DeepSeek and SPSS software in data analysis. To achieve this, the analysis results of the two software on the same dataset were compared to verify their performance differences. The results show that, compared with SPSS software, DeepSeek has lower accuracy in data preprocessing. While the error in the statistical description of quantitative data does not exceed 2%, the error in qualitative data is relatively large. Additionally, the prediction accuracy rate of the Logistic regression model is relatively low, at 67%. The error in each part of the factor analysis output is also relatively large, and the cumulative variance explained by the extracted common factors does not reach 60%. In conclusion, DeepSeek is less accurate than the traditional analysis software SPSS in data processing and analysis. However, it has advantages in terms of user-friendliness and accessibility.