Resources

Midterm Exam 1

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Below are resources for the first midterm exam

• Midterm I Topic Checklist
• Midterm I Practice Problems

Distribution Tables

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• Inverse $\chi^2$-distribution look-up table
• Inverse $t$-distribution look-up table

Marthews R Course

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Below are notes and associated supplementary materials for a "Friendly Beginners' R Course" by Toby Marthews. It will introduce you to the basics of R, how to install it, use it and how to work with the basic elements.

1. BeginnersRcourse.pdf
2. first.r
3. mystery.r
4. quadrats.r
5. quadratdata

Probability Theory

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Below are some supplementary HTML notes I wrote on some of the basics of probability theory. They are not comprehensive, but should serve as a good starting point if you are looking for a refresher.

1. Basics of probability and set theory [HTML]
2. Conditional probability and independence [HTML]
3. Discrete probability and combinatorics [HTML]
4. Multivariate distributions [HTML]

Multivariable Calculus

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Pauls online notes on multiple and iterated integrals

• Double Integrals
• Iterated Integrals
• Double Integrals over General Regions
• Double Integrals in Polar Coordinates

Extra Resources

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Below are several extra resources to aid in learning and studying the material for the course

• Seeing Theory - an interactive visualization of probability and statistics developed by Brown students (after taking this course!)
• Khan Academny - Statistics and probability - a great resource with many examples, explanations and materials
• Grinstead and Snell’s Introduction to Probability - An open source textbook on probability developed by two Dartmouth professors
• Towards Data Science - Probability and Statistics An online data science publication with well written introductory articles on range of topics related to statistics