Readings | Introduction to Probability and Statistics | Mathematics

Listed in the following table are assigned readings and reading questions that students were expected to complete prior to attending class sessions. The reading questions are multiple choice or numerical answer questions. Students received instant feedback and could make multiple attempts. Another form of interactive assessment used in the course, Problem Set Checker, can be viewed on the Assignments page.

Course readings.
WEEK #	SES #	READINGS	INTERACTIVE Reading QUESTIONS
Probability
1	C1	1a: Introduction (PDF) 1b: Counting and Sets (PDF)	Reading Questions for 1b Reading Questions for R Intro
1	C2	2: Probability: Terminology and Examples (PDF) R Tutorial 1A: Basics R Tutorial 1B: Random Numbers	Reading Questions for 2
2	C3	3: Conditional Probability, Independence and Bayes' Theorem (PDF)	Reading Questions for 3
2	C4	4a: Discrete Random Variables (PDF) 4b: Discrete Random Variables: Expected Value (PDF)	Reading Questions for R Reading Questions for 4a Reading Questions for 4b
3	C5	5a: Variance of Discrete Random Variables (PDF) 5b: Continuous Random Variables (PDF) 5c: Gallery of Continuous Random Variables (PDF) 5d: Manipulating Continuous Random Variables (PDF)	Reading Questions for 5a Reading Questions for 5b Reading Questions for 5c Reading Questions for 5d
4	C6	6a: Expectation, Variance and Standard Deviation for Continuous Random Variables (PDF) 6b: Central Limit Theorem and the Law of Large Numbers (PDF) 6c: Appendix (PDF)	Reading Questions for 6a Reading Questions for 6b
4	C7	7a: Joint Distributions, Independence (PDF) 7b: Covariance and Correlation (PDF)	Reading Questions for 7a Reading Questions for 7b
5	C8	Class 8: Exam Review (PDF) Class 8: Exam Review Solutions (PDF)
	C9	No readings assigned
Statistics: Bayesian Inference
5	C10	10a: Introduction to Statistics (PDF) 10b: Maximum Likelihood Estimates (PDF)	Reading Questions for 10a Reading Questions for 10b
6	C11	11: Bayesian Updating with Discrete Priors (PDF)	Reading Questions for 11
6	C12	12a: Bayesian Updating: Probabilistic Prediction (PDF) 12b: Bayesian Updating: Odds (PDF)	Reading Questions for 12a Reading Questions for 12b
7	C13	13a: Bayesian Updating with Continuous Priors (PDF) 13b: Notational Conventions (PDF)	Reading Questions for 13a
7	C14	14a: Beta Distributions (PDF) 14b: Bayesian Updating with Continuous Data (PDF)	Reading Questions for 14a and 14b
8	C15	15a: Conjugate Priors: Beta and Normal (PDF) 15b: Choosing Priors (PDF)	Reading Questions for 15a
8	C16	16: Probability Intervals (PDF)	Reading Questions for 16
Statistics: Frequentist Inference—Null Hypothesis Significance Testing (NHST)
9	C17	17a: The Frequentist School of Statistics (PDF) 17b: Null Hypothesis Significance Testing I (PDF)	Reading Questions for 17b
9	C18	18: Null Hypothesis Significance Testing II (PDF)	Reading Questions for 18
10	C19	19: Null Hypothesis Significance Testing III (PDF)	Reading Questions for 19
10	C20	20: Comparison of Frequentist and Bayesian Inference (PDF)
11	C21	No readings assigned
Statistics: Confidence Intervals; Regression
12	C22	22: Confidence Intervals Based on Normal Data (PDF)	Reading Questions for 22
12	C23	23a: Confidence Intervals: Three Views (PDF) 23b: Confidence Intervals for the Mean of Non-normal Data (PDF)
13	C24	24: Bootstrap Confidence Intervals (PDF)	Reading Questions for 24
13	C25	25: Linear Regression (PDF)	Reading Questions for 25
14	C26	No readings assigned
14	C27	No readings assigned