### Textbook

The textbook can be found on its own page.

### Lecture Notes

Here are the lecture notes for Winter, 2020.

- Section 2.1 – see also the Logical Reasoning Exercises which you can find in the Handouts below
- Section 2.2 – see also the Venn Diagram Worksheet in the Handouts below

**Test 1 covers the material up to this point.**

- Section 2.3
- Section 2.4
- Section 2.5
- Section 2.6
- Section 2.7 – see also the Who's Breaking the Law worksheet under Handouts
- Section 2.8

**Test 2 covers the material up to this point.**

**Test 3 covers the material up to this point.**

- Section 6.1
- Section 6.2
- Section 6.3 – see also the Tchebysheff and Empirical Rule Handout
- Section 6.4

- Section 7.1 – see also the Sampling Plans Handout plus Exercises.
- Section 7.2
- Section 7.3

- Chapter 8 lecture notes coming soon

**Test 4 covers the material up to this point.**

- Chapter 9 lecture notes coming soon

- Chapter 10 lecture notes coming soon

### Handouts

#### Chapter 2: Logic

- Section 2.1:
- Section 2.2:
- Section 2.5: Laws of Logic
- Section 2.7: Who's Breaking the Law? with the tables filled in completely

#### Chapter 7: Producing Data

- Section 7.1: Sampling Plans
- Section 7.1: Sampling Plans Exercises
- Section 7.2: Observation vs. Experiment Handout and Solutions

### Videos

#### Section 8.1:

- Finishing up the Addition Rule (4:30 min)
- Examples of Counting Techniques (11:53 min)
- Another Example of Counting Techniques (8:00 min)

#### Section 8.2:

- Classical Probability (4:19 min)
- Classical Probability, Example 1 (7:43 min)
- Classical Probability, Example 2 (8:28 min)
- Contingency Tables Example (13:48 min)
- Contingency Tables Example 2 (7:27 min)

#### Section 8.3:

- Discrete Random Variables (12:05 min)

#### Section 9.1:

- Continuous Random Variables (12:22 min)
- Continuous Random Variables Example (4:23 min)

#### Section 9.2:

- The Normal Distribution (11:53 min)

#### Section 9.3:

- The Standard Normal Distribution (19:28 min)

#### Section 9.4:

- The Standard Normal Distribution - calculating values from probabilities (7:58 min)
- The Normal Distribution - a full example (7:27 min)

#### Section 10.1 and 10.2:

- Confidence Intervals (15:09 min)
- Example of Confidence Intervals (14:47 min)