Jump to: | Unit 1 | Unit 2 | Unit 3 | Unit 4 |

Learning objectives: L0 1 | Textbook: Chp 1 | Videos: Videos 1 |

Sep 25, Mon | Introduction to PSYC 201 |

Sep 27, Wed | Lesson 1.1: Data–where it comes from and why it matters |

Sep 29, Fri | Lab 1: Intro to R and RStudio |

R CheatSheet | |

Oct 2, Mon | Quiz 1 in class |

Lesson 1.2: Exploratory Data Analysis | |

Oct 4, Wed | Lesson 1.3: More Exploratory Data Analysis |

Example Exploratory Data Analysis | |

Oct 6, Fri | Lab 2: Intro to Data |

- CAOS PreTest: Sep 30 11:55PM
- Lab 1: Oct 6, Start of Lab Section
- Lab 2: Oct 13, Start of Lab Section
- Problem Set 1: Oct 9, Mon, at 12:30pm
- End of chapter exercises from
**Chp 1**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Submit homework through Google Classroom. **Graded questions:**1.2, 1.12, 1.20, 1.30, 1.34, 1.42- Practice questions:
- Part 1 – Designing studies: 1.1, 1.3, 1.9, 1.11, 1.13, 1.19
- Part 2 – Examining Data: 1.25, 1.27, 1.29, 1.37, 1.39, 1.41, 1.47

- End of chapter exercises from

Learning objectives: LO 2 | Textbook: Chp 2 |

Oct 9, Mon | Quiz 2 in class |

Lesson 2.1: Randomization and Sampling | |

Simulating Gender Discrimination in Hiring | |

Oct 11, Wed | Lesson 2.2: Hypothesis Testing |

Simulating Cardiac Arrest Outcomes | |

Oct 13, Fri | Lab 3: Testing the Hot Hands Hypothesis |

Oct 16, Mon | Quiz 3 in class |

Lesson 2.3: The Central Limit Theorem | |

Oct 18, Wed | Lesson 2.4: The Normal Distribution and more on the Central Limit Theorem |

Oct 20, Fri | Lab 4: Sampling Distributions |

Oct 23, Mon | Quiz 4 in class |

Lesson 2.5: Confidence Intervals |

- Lab 3: Oct 21, Start of Lab Section
- Lab 4: Oct 27, Start of Lab Section
- PS 2: Oct 25, 1:30 PM
- End of chapter exercises from
**Chp 2**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Submit homework through Google Classroom. **Graded questions:**2.4, 2.10, 2.16, 2.18, 2.24, 2.38- Practice questions:
- Part 1 – Randomization and Hypothesis Testing: 2.1, 2.3, 2.5, 2.9,
- Part 2 – The Normal Distribution: 2.11, 3.13, 2.15, 2.17, 2.19, 2.23, 2.29, 2.31
- Part 3 - Applying the Normal model 2.35, 2.37

- End of chapter exercises from

Learning objectives: L0 3 | Textbook: Chp 3 and Chp 4 |

Oct 25, Wed | Lesson 3.1: Inference for a Single Proportion |

Simulating population proportion estimates | |

Oct 27, Fri | Lab 5: Confidence Intervals |

Oct 30, Mon | Quiz 5 in class |

Lesson 3.2: Difference of Two Proportions | |

Nov 1, Wed | Lesson 3.3: The t-distribution |

Simulating Friday the 13th | |

Nov 3, Fri | Lab 6: Inference for Categorical Data |

Nov 6, Mon | Quiz 6 in class |

Lesson 3.4: Paired data and the t-tests | |

Simulating reading and writing score differences | |

Nov 8, Wed | Lesson 3.5: Difference of two means |

Nov 10, Fri | Lab 7: Inference for Numerical Data |

- Lab 5: Nov 3, Start of Lab Section
- Lab 6: Nov 10, Start of Lab Section
- Lab 7: Nov 17, Start of Lab Section
- PS 3: Nov 13, 1:30 PM
- End of chapter exercises from
**Chp 3 and 4**of Intro to Stats with Randomization and Simulation. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Submit homework through Google Classroom. **Graded questions:**3.2, 3.12, 3.24, 4.6, 4.10, 4.14, 4.18- Practice questions:
- Part 1 – Inference for a single proportion: 3.1, 3.5, 3.11, 3.19
- Part 2 – Difference of two proportions: 3.23, 3.25, 2.15, 2.17, 2.19, 2.23, 2.29, 2.31
- Part 3 - One-sample means with t-tests 4.3, 4.5
- Part 4 - Paired data: 4.9, 4.13
- Part 5 - Difference of two means: 4.15, 4.17, 4.23

- End of chapter exercises from

Learning objectives: LO 4 | Textbook: Chp 5 and 6 |

Nov 13, Mon | Quiz 7 in class |

Lesson 4.1: Linear Regression | |

Nov 15, Wed | Lesson 4.2: Residuals and Least Squares |

Nov 17, Fri | Lab 8: Simple Linear Regression |

Nov 20, Mon | Quiz 8 in class |

Lesson 4.3: Inference for linear regression | |

Nov 22, Wed | Lesson 4.4: Multiple regression |

Understanding correlation and simple regression | |

Nov 24, Fri | Thankgsiving Break - no class |

Nov 27, Mon | Quiz 9 in class |

Lesson 4.5: Model Selection | |

Nov 29, Wed | Lesson 4.6 Multiple Regression and ANOVA |

Regression and ANOVA | |

Dec 1, Fri | Lab: Work on project (Optional) |

- Lab 8: Dec 1, Start of Lab Section
- PS 4: Dec 4 Mon, 12:30 PM
- End of chapter exercises from
**Chp 5 and 6**of Intro to Stats with Randomization and Simulation. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Submit homework through Google Classroom. **Graded questions:**5.4, 5.10, 5.20, 5.28, 6.2, 6.8,- Practice questions:
- Part 1 – Line fitting, residuals, and correlation: 5.1, 5.3, 5.9
- Part 2 – Fitting a line by least squares: 5.17, 5.19
- Part 3 - Inference for linear regression: 5.27, 5.29
- Part 4 - Introduction to multiple regression: 6.1, 6.3
- Part 5 - Model selection: 6.7, 6.9, 6.11

- End of chapter exercises from
- Final Project : Dec 7 11:55PM
- CAOS PostTest: Dec 7 11:55PM