Business Statistics
本课程是商业分析专业的核心基础课，系统介绍描述统计与推断统计在商业领域的应用。内容包括数据收集与整理、概率分布、抽样分布、参数估计、假设检验、方差分析、回归分析、时间序列分析等。课程强调统计思维的培养，通过真实商业案例让学生掌握如何运用统计方法分析市场数据、评估经营效果、支持管理决策，为后续数据分析课程奠定扎实的理论基础。
This core foundational course introduces descriptive and inferential statistics applied to business contexts. Topics include data collection, probability distributions, sampling distributions, parameter estimation, hypothesis testing, ANOVA, regression analysis, and time series analysis. The course emphasizes statistical thinking through real business cases, enabling students to analyze market data, evaluate operational performance, and support management decisions using statistical methods.
选择一家连锁零售企业的门店销售数据，运用描述统计方法分析销售分布特征，通过假设检验验证不同区域门店的销售业绩是否存在显著差异，利用方差分析比较促销策略对销售额的影响，建立回归模型探究客流量、定价、促销等因素与销售业绩的关系。最终提交完整的数据分析报告，包含可视化图表和商业建议。
Analyze retail store sales data using descriptive statistics. Apply hypothesis testing to verify significant performance differences across regions. Use ANOVA to compare promotional strategies' impact on sales. Build regression models to explore relationships between foot traffic, pricing, promotions, and sales performance. Submit a complete analysis report with visualizations and business recommendations.