Resources

Distribution Tables

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

Final Exam

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Below are resources for the final exam

• Final Exam - Solutions - Due Friday 4/23 by 11:59PM EDT.
• Final topic checklist
• Suggested end of chapter problems for new material:
  • Chapter 7: 1,2,3,4,5,6,7,8,13
  • Chapter 8: 1,3,4,5,6,7,8,11,12,13,14

Midterm Exam 2

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Below are resources for the second midterm exam

• Midterm 2 topic Checklist
• Suggested end of chapter problems:
  • Chapter 4: 1,2,3,4,5,6,7,8,9,10,11,14,15,16,20,22,23
  • Chapter 5: 1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,19,21,22,23,24,25,26,28,31,32,33,34,35
  • Chapter 6: 4,5,19,20,22
• Another list of practice problems - Solutions
• Practice Midterms
• Easy Practice Midterm - Solutions
• Hard Practice Midterm - Solutions
• Review Sessions
• Chapter 4 Review - Wed 3/24 - 7pm to 9pm - Zoom - Review Slides
• Chapter 5,6 Review - Fri 3/26 - 4pm to 6pm - Zoom - Review Slides
• Exam 2 - Solutions

Midterm Exam 1

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Below are resources for the first midterm exam

• Midterm 1 topic Checklist
• A list of practice problems for the first midterm exam with solutions
• Spring 2020 Midterm Exam 1 - Solutions Some problems not covered yet
• Suggested end of chapter problems:
  • Chapter 1: 1,2,3,4,6,7,13,15,16,17,18,22,23,25,26,27,31,32,34
  • Chapter 2: 1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19
  • Chapter 3: 1,2,3,4,5,7,8,9,10,11,12,13,14,15,16,17,18,19,21,23,24
• Review Sessions Slides
• Chapter 1 Review Slides
• Chapter 2 Review Slides
• Chapter 3 Review Slides
• Exam 1 - Solutions

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