STAT 157: Applied Statistics for Computing

Textbook

The textbook can be found on its own page.

Lecture Notes

Here are the lecture notes for Winter, 2020.

• Section 1.1
• Section 1.2
• Section 1.3
• Section 1.4

• 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.

• Section 4.1
• Section 4.2
• Section 4.3

• Section 5.1
• Section 5.2
• Section 5.3
• Section 5.4

• Section 6.1 and 6.2

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

• Graphs of Data

Chapter 2: Describing Data with Numbers

• Tchebysheff and Empirical Rule and Solutions

Chapter 3: Producing Data

• Sampling Plans
• Sampling Plans Exercises
• Observation vs. Experiment Handout and Solutions

Chapter 4: Intro to Probability

• Contingency Tables and Solutions

Chapter 5: Sampling Distributions

• The Standard Normal Table
• Standard Normal Table Exercises and Solutions