These are the worked-out notes from Fall 2019. Notes correspond to the book Elementary Statistics, 3rd Edition, by Navidi and Monk.

2.2: Frequency Distributions and their Graphs (Wednesday, September 4)
2.3: More Graphs for Quantitative Data (Monday, September 18)
3.1: Measures of Center (Monday, September 16 and Wednesday, September 18)
3.2: Measures of Spread (Wednesday, September 18 and Monday, September 23)
3.3: Measures of Position (Wednesday, September 25)

Supplement about Set Theory and Set Notation (Wednesday, October 2)
5.1: Basic Concepts of Probability (Wednesday, October 2 — Wednesday, October 9)
5.2: The Addition and Complement Rules (Wednesday, October 9)
6.1: Discrete Random Variables (Monday, October 14 and Wednesday, October 16)
7.1: The Standard Normal Curve (Wednesday, October 16)
7.2: Applications of Normal Distributions (Wednesday, October 16 and Monday, October 21)

7.3: Sampling Distributions and the Central Limit Theorem (Wednesday, October 23)
8.1: Confidence Intervals for One Population Mean–Standard Deviation Known (Wednesday, October 30)
8.2: Confidence Intervals for One Population Mean–Standard Deviation Unknown (Wednesday, October 30)
9.1: Basic Principles of Hypothesis Testing (Monday, November 4)
9.2: Hypothesis Tests for a Population Mean, Sigma Known (Monday, November 4 and Wednesday, November 6)
9.3: Hypothesis Tests for a Population Mean, Sigma Unknown (Wednesday, November 6 and Monday, November 11)

7.4: The Central Limit Theorem for Proportions (Monday, November 18)
8.3: Confidence Intervals for for One Population Proportion (Monday, November 18)
9.4: Hypothesis Tests for One Population Proportion (Monday, November 18 and Wednesday, November 20)
10.1 and 11.1: Confidence Intervals and Hypothesis Tests for the Difference Between Two Means – Independent Samples (Wednesday, November 20)

10.1, 11.1: Confidence Intervals and Hypothesis Tests for the Difference Between Two Population Means _ Independent Samples
11.2: Hypothesis Tests for Two Population Proportions (Tuesday, November 25)
4.1, 4.1: Correlation and Linear Regression (Monday, December 2)