1 Day 1 (June 3)

1.1 Welcome and preliminaries

  • About me

  • Course website

    • How I will use Canvas

  • Syllabus

    • Is the course right for you?
    • Recomended material
    • Statistical programming languages
    • Reproducibility requirement (data analysis can be successfully repeated)
    • Academic Honesty: working in groups, sharing code, use of generative AI (e.g., ChatGPT), etc.
    • Grades
    • Topics
    • Minimalist teaching philosophy
    • Value of this course
    • How best to interact with me

  • Who is in this class?

    • Group work and collaboration
url <- "https://www.dropbox.com/scl/fi/hbctfmc01bprd1v58fafl/students_STAT_705_2024.csv?rlkey=6qaml9jh8ydh3qn0vgxldkjkh&dl=1"
df <- read.csv(url)

par(mar=c(13,2,2,2))
plot(rev(sort(table(df$degreeProgram))),las=2,xlab="",ylab="Number of students",ylim=c(0,5))

par(mar=c(13,2,2,2))
plot(rev(sort(table(df$classLevel))),las=2,xlab="",ylab="Number of students",ylim=c(0,13))

1.2 Assignment 1