Jump to: | Unit 1 | Unit 2 | Unit 3 | Unit 4 Unit 5 Unit 6 |

Textbook: Chp 1 | Videos: Videos 1 |

Jan 19, Wed | Introduction to 85-309 |

Jan 21, Fri | Lesson 1.1: Data–where it comes from and why it matters |

Jan 24, Mon | Lesson 1.2: Exploratory Data Analysis |

Exploring class data | |

Jan 26, Wed | Lab 1: Intro to R and RStudio |

Jan 28, Fri | Quiz 1 in class |

Lesson 1.3: More Exploratory Data Analysis | |

Jan 31, Mon | Lesson 1.4 Using the Tidyverse |

Feb 2, Wed | Lab 2: Intro to Data |

- CAOS PreTest: Jan 24 1:25pm
- Lab 1: Feb 2, Wed, at 1:25pm
- Lab 2: Feb 9, Wed, at 1:25pm
- Problem Set 1: Feb 4, Fri, at 1:25pm
- 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 Canvas. **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

Textbook: Chp 2 | Videos: Videos 2 |

Feb 4, Fri | Quiz 2 in class |

Lesson 2.1: Randomization and Sampling | |

Bias in hiring | |

Feb 7, Mon | Lesson 2.2: Hypothesis Testing |

Cardiac arrests | |

Feb 9, Wed | Lab 3: Intro to the Tidyverse and Functions |

Feb 11, Fri | Quiz 3 in class |

Lesson 2.3: The Central Limit Theorem | |

Feb 14, Mon | Lesson 2.4: The Normal Distribution and more on the Central Limit Theorem |

QQ Plots | |

Feb 16, Wed | Lab 4: Sampling Distributions |

Feb 18, Fri | Quiz 4 in class |

Lesson 2.5: Confidence Intervals |

- Lab 3: Feb 16, Wed, at 1:25pm
- Lab 4: Feb 23, Wed, at 1:25pm
- PS 2: Feb 21, Mon, at 11:59pm
- 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 Canvas. **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

Textbook: Chp 3 and Chp 4 | Videos: Videos 3a and 3b |

Feb 21, Mon | Lesson 3.1: Inference for a Single Proportion |

The Central Limit Theorem for Proportions | |

Feb 23, Wed | Lab 5: Testing the Hot Hands Hypothesis |

Curry simulation notes | |

Feb 25, Fri | Quiz 5 in class |

Lesson 3.2: Inference for the difference of two proportions | |

Feb 28, Mon | Lesson 3.3: The t-distribution |

One sample t-tests | |

Mar 2, Wed | Lab 6: Confidence Intervals |

Mar 4, Fri | Mid Semester Break - No class |

Mar 7, Mon | Spring Break - No class |

Mar 9, Wed | Spring Break - No class |

Mar 11, Fri | Spring Break - No class |

Mar 14, Mon | Lesson 3.4: Difference of two means |

Mar 16, Wed | Lab 7: Inference for Categorical Data |

Mar 18, Fri | Quiz 6 in class |

Lesson 3.5: Difference of many means | |

Dictator game |

- Lab 5: Mar 2, Wed, at 1:25pm
- Lab 6: Mar 16, Wed, at 1:25pm
- Lab 7: Mar 23, Wed, at 1:25pm
- PS 3: Mar 21, Mon, at 1:25pm
- 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 Canvas. **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

Textbook: Chp 5 | Videos: Videos 4 |

Mar 21, Mon | Lesson 4.1: Linear Regression |

Mar 23, Wed | Lab 8: Inference for Numerical Data |

Mar 25, Fri | Quiz 7 in class |

Lesson 4.2: Residuals and Least Squares | |

Mar 28, Mon | Lesson 4.3: Inference for linear regression |

Twin IQ correlation | |

Mar 30, Wed | Lab 9: Introduction to Linear Regression |

- Lab 8: Mar 30, Wed, at 1:25pm
- Lab 9: Apr 6, Wed, at 1:25pm
- PS 4: Apr 1 Fri, at 1:25pm
- End of chapter exercises from
**Chp 5**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 Canvas. **Graded questions:**5.4, 5.10, 5.20, 5.22, 5.28, 5.34- 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 - Types of Outliers in linear regression: 5.23, 5.25
- Part 4 - Inference for linear regression: 5.27, 5.29, 5.33

- End of chapter exercises from

Textbook: Chp 6 | Videos: Videos 5 |

Apr 1, Fri | Quiz 8 in class |

Lesson 5.1: Multiple Regression | |

April 4, Mon | Lesson 5.2: Model Selection |

Stepwise Regression | |

April 6, Wed | Lab 10: Multiple Linear Regression |

April 8, Fri | Carnival - No Class |

April 11, Mon | Lesson 5.3 Transformations |

Log Tranforming Data | |

April 13, Wed | Lab 11: Choosing the right model |

April 15, Fri | Quiz 9 in class |

Lesson 5.4 The Generalized Linear Model | |

The Donner Party | |

April 18, Mon | Lesson 5.5 Mixed effects models |

April 20, Wed | Work on labs |

- Lab 10: Apr 13, Wed, at 1:25pm
- Lab 11: Apr 20, Wed, at 1:25pm
- PS 4: Apr 22 Fri, at 1:25pm
- End of chapter exercises from
**Chp 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 Canvas. **Graded questions:**6.2, 6.4, 6.8, 6.12, 6.14- Practice questions:
- Part 1 - Introduction to multiple regression: 6.1, 6.3
- Part 2 - Model selection: 6.7, 6.9
- Part 3 - Checking Model Assumptions: 6.11
- Part 4 - Logistic Regression: 6.13, 6.15

- End of chapter exercises from

Book: Statistical Rethinking | Videos: Videos 6 |

April 22, Fri | What is Probability? | |

April 25, Mon | Bayesian inference | |

April 27, Wed | Work on Labs | |

April 29, Fri | Language learning as Bayesian inference |

- CAOS PostTest: Apr 29 1:25PM
- Final Project : May 9 11:55PM