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Fundamentos de Inferência Estatística em R
Amostragem, Reamostragem (Bootstrapping), Intervalo de Predição, Intervalo de Confiança e Análise de Proporção
Aula inspirada nos Capítulos 3 e 4 de DANCEY, CP & REIDY, J (2019) Estatística sem Matemática para Psicologia, 7ª ed. Porto Alegre: Penso.
Retail Sales Analysis
This is an analysis of retail sales data showing customer demography, featuring attributes like Transaction ID, Date, Customer ID, Gender, Age, Product Category, Quantity, Price per Unit, and Total Amount. It helps analyze sales patterns, demographic impacts, and purchasing behaviors. Key questions addressed include identifying popular product categories, understanding sales trends over time, and examining the relationship between price and quantity purchased.
P421 ANOVA Homework
2-Way ANOVA
6.5. Sankey graph for P&L Statement
Source: https://t.me/rstudioprogr