### Textbook

The textbook can be found on its own page.

### Lecture Notes

Here are the lecture notes for Winter, 2020.

- Section 2.1
- Section 2.2
- Section 2.3
- We also completed the Tchebysheff and Empirical Rule Handout which you can find in the Handouts below.
- Section 2.4

- Section 3.1 (in progress)
- We also covered the Sampling Plans Handout plus Exercises which you can find in the Handouts below.
- Section 3.2
- We also covered the Observation vs. Experiment Handout which you can find in the Handouts below.
- Section 3.3

- Test 1 covers the material up to this point.

Lecture notes from Fall, 2019 can be found here.

### Videos

Section 4.1:

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

Section 4.2:

- 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 4.3:

- Discrete Random Variables (12:05 min)

Section 5.1:

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

Section 5.2:

- The Normal Distribution (11:53 min)

Section 5.3:

- The Standard Normal Distribution (19:28 min)

Section 5.4:

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

Section 6.1:

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

### Handouts

Chapter 1: Describing Data with Graphs

Chapter 2: Describing Data with Numbers

Chapter 3: Producing Data

Chapter 4: Intro to Probability

Chapter 5: Sampling Distributions