**Exercise 3.11 (Regular bike ridership) **A university wants to know what proportion of students are regular bike riders, π, so that they can install an appropriate number of bike racks. Since the university is in sunny Southern California, staff think that π has a mean of 1 in 4 students, and a mode of 5/22. 1. Specify and plot a Beta model that reflects the staff’s prior ideas about π. 2. Among 50 surveyed students, 15 are regular bike riders. What is the posterior model for π? 3. What is the mean, mode, and standard deviation of the posterior model? 4. Does the posterior model more closely reflect the prior information or the data? Explain your reasoning. **Exercise 3.18 (More Beta-Binomial)** 1. Patrick has a Beta(3,3) prior for π, the probability that someone in their town attended a protest in June 2020. In their survey of 40 residents, 30 attended a protest. Summarize Patrick’s analysis using `summarize_beta_binomial()` and `plot_beta_binomial()`. 2. Harold has the same prior as Patrick, but lives in a different town. In their survey, 15 out of 20 people attended a protest. Summarize Harold’s analysis using `summarize_beta_binomial()` and `plot_beta_binomial()`. 3. How do Patrick and Harold’s posterior models compare? Briefly explain what causes these similarities and differences.

Análisis de componentes principales, conglomerados y correspondencia sobre oferta de vivienda en Cali (Actividad 1 - Modelos Estadísticos).

Analysis of enzymatic activities, soil properties and species richness across soil depths in the ORPHEE experiment.

Atividade apresentada à disciplina de Psicometria em R do Programa de Pós-Graduação em Bioestatística da UEM.

Guía de trabajo sobre base de datos de Comercio Exterior

Assignment 1 for Data 606