Visualization of CLT using Hypothetical data

Trabajo final seminario de investigaciòn cuantitativa

A basic code through to get you started with [ape].

This document is directed towards a student audience familiar with coding in R but with no or little background in quantum information science and technology.

This project delivers a scalable analytical framework in R to model, track, and visualize Customer Lifetime Value (LTV) via cohort analysis. By normalizing raw transaction dates into unified operational timelines, this model isolates margin compounding and defines strategic marketing thresholds.

O modelo de Poisson assume que média e variância são iguais. Na prática, dados de contagem quase sempre violam essa suposição — fenômeno chamado **superdispersão**. Esta apostila apresenta o diagnóstico de superdispersão e duas soluções práticas: o **quasi-Poisson** e a **Binomial Negativa**, aplicadas ao banco de dados `quine` do pacote MASS.