The week 2 class will provide a basic overview of probability and statistics. We'll cover the basics of statistics and samples, how to describe your data, and some basic classical tests. More advanced, specific topics will be covered in later lectures.
Please bring a laptop to class. Remember to charge your laptop before class; there are a few power outlets in the room, but there number is limited.
Class Materials:
Lecture Slides: Week2.pdf
R notes: week2.R
Extra Materials:
Errors in Hypothesis Testing.pdf
Resources:
- Khan Academy has some excellent probability and statistics videos if you want to brush up on a certain topic https://www.khanacademy.org/math/probability.
- Schluter and Whitlock's Analysis of Biological Data serves as an excellent primer of probability and statistics.
- Dr. Martha Smith's website Common Mistakes in Statistics http://www.ma.utexas.edu/users/mks/statmistakes/StatisticsMistakes.html
- Motulsky's Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking is great for wrapping your head around statistical thinking
- Zar's Biostatistical Analysis and Sokal and Rohlf's Biometry are both good, but rather dry, references.
- Coursera has two online courses: Mathematical Biostatistics Bootcamp I https://www.coursera.org/course/biostats and Mathematical Biostatistics Bootcamp II https://www.coursera.org/course/biostats2