Lecture notes for Sections 1.1 and 1.2 (PDF)
Hypothesis Testing Summary Histogram (shows the effect of binning on histogram shape)
Picturing Data I Picturing Data II Comparing groups using boxplots: an example
Using Standard Deviation to Compare Variation in Two Data Sets Using Standard Deviation to Compare Variation in Two Data Sets Key
Lecture notes for section 2.1 Lecture notes for Section 2.2 Lecture notes for Section 2.3 Lecture notes for Section 2.4
Lecture notes for Section 2.5 (part 1)Fall 2011 Section 2.5 Boxplot example Lecture notes for Section 2.5 (Part 2)Fall 2011
Lecture notes for Section 3.1 spring 2011 Lecture notes for Section 3.2 spring 2011 Lecture notes for Section 3.3 spring 2011
Lecture notes for Section 3.3: The residual plot Lecture notes for Chapter 4, part 1, Fall 2011
Lecture notes for Section 5.1 spring 2011 Lecture notes for Section 5.2 spring 2011 Lecture notes for Section 5.2 (continued) spring 2011
Lecture notes for Section 5.3 spring 2011 Lecture notes for Section 6.1 spring 2011 Lecture notes for Section 6.3 spring 2011
Lecture notes for Section 6.2 spring 2011
Lecture notes for Section 7.1 spring 2011 Lecture notes for Section 7.2 spring 2011 Lecture notes for Section 7.3 spring 2011
Lecture notes for Section 8.1 spring 2011 Lecture notes for Section 8.2 spring 2011 Lecture notes for Section 8.3 spring 2011
Lecture notes for Section 8.4 spring 2011 Lecture notes for Section 9.1/9.2 spring 2011 Lecture notes for Section 9.3 spring 2011
Lecture notes for Section 9.4 spring 2011
Sample space for the roll of two dice (PDF) Probability Example (Weiss) $ Spent Dining Out (PDF)
Normal Curve Sheet (PDF) Constructing a (95%) Confidence Interval
Normal Distribution Practice Problems Normal Distribution Practice Problems Key
Regression Facts (PDF) Sampling Distributions and the CLT (PDF)
CI for a population proportion (PDF) Hypothesis Testing for a population proportion(PDF)