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Tutorials for MATH 2411 Applied Statistics, HKUST, Fall 2024

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Tutorials for MATH 2411 Applied Statistics

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Course Information

HKUST Canvas

Discord server for online discussions and Q&A

Instructor: Dr. Jing Yao (majyao@ust.hk)

Teaching Assistant: Zhiwei Wang (zhiwei.wang@connect.ust.hk)

Tutorial Files

The source files of the slides are in .Rmd format. You can have a look at them if you are interested in how to create slides through R Markdown.

To get a full view of the slides, I recommend opening the .html files (e.g., Introduction.html) with your browser after downloading the entire tutorial folder. Typically this works best in Chrome.

I also provide the PDF version via John Paul Helveston and Garrick Aden-Buie's R package renderthis:

renderthis::to_pdf(from = "filename.Rmd", complex_slides = TRUE, partial_slides = FALSE)

However, the “complex” slides containing panelsets or other HTML widgets/advanced features might not render well as a PDF.

Resources

  • Textbook: Probability and Statistics for Engineers and Scientists by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying Ye.

  • Lecture Notes: Canvas

  • Tutorial Slides: GitHub repository

Acknowledgments

  • Slides created via Yihui Xie's R package xaringan.

  • Theme customized via Garrick Aden-Buie's R package xaringanthemer.

  • Tabbed panels created via Garrick Aden-Buie's R package xaringanExtra.

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Tutorials for MATH 2411 Applied Statistics, HKUST, Fall 2024

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