• 85-309 - Statistical Methods and Concepts for Social and Behavioral Sciences

Schedule

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

Unit 1 - Introduction to data

Resources
 Textbook: Chp 1 Videos: Videos 1
Class / lab
 Feb 1, Mon Introduction to 85-309 Feb 3, Wed Lesson 1.1: Data–where it comes from and why it matters Feb 5, Fri Lab 1: Intro to R and RStudio Feb 8, Mon Lesson 1.2: Exploratory Data Analysis Exploring class data Feb 10, Wed Quiz 1 in class Lesson 1.3: More Exploratory Data Analysis Feb 12, Fri Lab 2: Intro to Data Feb 15, Mon Lesson 1.4 Using the Tidyverse
Due dates
• CAOS PreTest: Feb 5 11:55PM
• Lab 1: Feb 12, Fri, at 2:10pm
• Lab 2: Feb 19, Fri, at 2:10pm
• Problem Set 1: Feb 17, Wed, at 2:10pm
• 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

Unit 2 - Foundations for Inference

Resources
 Textbook: Chp 2 Videos: Videos 2
Class / lab
 Feb 17, Wed Quiz 2 in class Lesson 2.1: Randomization and Sampling Bias in hiring Feb 19, Fri Lab 3: Intro to the Tidyverse and Functions Feb 22, Mon Lesson 2.2: Hypothesis Testing Cardiac arrests Feb 24, Wed Quiz 3 in class Lesson 2.3: The Central Limit Theorem Feb 26, Fri Lab 4: Testing the Hot Hands Hypothesis Curry simulation notes Mar 1, Mon Lesson 2.4: The Normal Distribution and more on the Central Limit Theorem QQ Plots Mar 3, Wed Quiz 4 in class Lesson 2.5: Confidence Intervals Mar 5, Fri Lab 5: Sampling Distributions
Due dates
• Lab 3: Feb 26, Fri, at 2:10pm
• Lab 4: Mar 5, Fri, at 2:10pm
• Lab 5: Mar 12, Fri, at 2:10pm
• PS 2: Mar 8, Mon, at 2:10 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 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

Unit 3 - Inference for Categorical and Numerical Data

Resources
 Textbook: Chp 3 and Chp 4 Videos: Videos 3a and 3b
Class / lab
 Mar 8, Mon Lesson 3.1: Inference for a Single Proportion The Central Limit Theorem for Proportions Mar 10, Wed Quiz 5 in class Lesson 3.2: Inference for the difference of two proportions Mar 12, Fri Lab 6: Confidence Intervals Mar 15, Mon Lesson 3.3: The t-distribution One sample t-tests Mar 17, Wed Quiz 6 in class Lesson 3.4: Difference of two means Mar 19, Fri Mid Semester Break - No class Mar 22, Mon Lesson 3.4: Difference of two means Mar 24, Wed Quiz 7 in class Lesson 3.5: Difference of many means Dictator game Mar 26, Fri Lab 7: Inference for Categorical Data
Due dates
• Lab 6: Mar 26, Fri, at 2:10 PM
• Lab 7: Apr 2, Fri, at 2:10 PM
• PS 3: Mar 29, Mon, at 2:10 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 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

Unit 4 - Simple Regression

Resources
 Textbook: Chp 5 Videos: Videos 4
Class / lab
 Mar 29, Mon Lesson 4.1: Linear Regression Mar 31, Wed Quiz 8 in class Lesson 4.2: Residuals and Least Squares Apr 2, Fri Lab 8: Inference for Numerical Data Apr 5, Mon Break Day - No class Apr 7, Wed Lesson 4.3: Inference for linear regression Apr 9, Fri Lab 9: Introduction to Linear Regression
Due dates
• Lab 8: Apr 9, Fri, at 2:10 PM
• Lab 9: Apr 23, Fri, at 2:10 PM
• PS 4: Apr 12 Mon, at 2:10 PM
• 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

Unit 5 - The General Linear Model

Resources
 Textbook: Chp 6 Videos: Videos 5
Class / lab
 Apr 12, Mon Lesson 5.1: Multiple Regression April 14, Wed Quiz 9 in class Lesson 5.2: Model Selection Stepwise Regression April 16, Fri Carnival - No Class April 19, Mon Lesson 5.3 Transformations Log Tranforming Data April 21, Wed Quiz 10 in class Lesson 5.4 The Generalized Linear Model The Donner Party April 23, Fri Lab 10: Multiple Linear Regression April 26, Mon Lesson 5.5 Mixed effects models April 28, Wed Quiz 11 in class Review April 30, Fri Lab 11: Choosing the right model
Due dates
• Lab 10: Apr 30, Fri, at 2:10 PM
• Lab 11: May 7, Fri, at 2:10 PM
• PS 4: May 3 Mon, at 2:10 PM
• 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

Unit 6 - Beyond Hypothesis Testing

Resources
 Book: Statistical Rethinking Videos: Videos 6
Class / lab
 May 3, Mon What is Probability? May 5, Wed Bayesian inference May 7, Fri Language learning as Bayesian inference