• PSYC 20100 - Psychological Statistics (Autumn 2018)

Schedule

Unit 1 - Introduction to data

Resources
 Learning objectives: L0 1 Textbook: Chp 1 Videos: Videos 1
Class / lab
 Oct 1, Mon Introduction to PSYC 201 Oct 3, Wed Lesson 1.1: Data–where it comes from and why it matters Oct 5, Fri Lab 1: Intro to R and RStudio R CheatSheet Oct 8, Mon Quiz 1 in class Lesson 1.2: Exploratory Data Analysis Oct 10, Wed Lesson 1.3: More Exploratory Data Analysis Example Exploratory Data Analysis Oct 12, Fri Lab 2: Intro to Data
Due dates
• CAOS PreTest: Oct 9 11:55PM
• Lab 1: Oct 12, Start of Lab Section
• Lab 2: Oct 19, Start of Lab Section
• Problem Set 1: Oct 15, 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

Unit 2 - Foundations for Inference

Resources
 Learning objectives: LO 2 Textbook: Chp 2
Class / lab
 Oct 15, Mon Quiz 2 in class Lesson 2.1: Randomization and Sampling Simulating Bias in Hiring Oct 17, Wed Lesson 2.2: Hypothesis Testing Simulating Cardiac Arrest Outcomes Hypothesis Testing Lab Primer Oct 19, Fri Lab 3: Testing the Hot Hands Hypothesis Oct 22, Mon Quiz 3 in class Lesson 2.3: The Central Limit Theorem Oct 24, Wed Lesson 2.4: The Normal Distribution and more on the Central Limit Theorem Demonstrating CLT with siblings Oct 26, Fri Lab 4: Sampling Distributions Oct 29, Mon Quiz 4 in class Lesson 2.5: Confidence Intervals Inferring Distribution Shapes from QQPlots
Due dates
• Lab 3: Oct 26, Start of Lab Section
• Lab 4: Nov 2, Start of Lab Section
• PS 2: Oct 31, 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

Unit 3 - Inference for Categorical and Numerical Data

Resources
 Learning objectives: L0 3 Textbook: Chp 3 and Chp 4
Class / lab
 Oct 31, Wed Lesson 3.1: Inference for a Single Proportion Confidence intervals for a proportion Nov 2, Fri Lab 5: Confidence Intervals Nov 5, Mon Quiz 5 in class Lesson 3.2: Inference for the difference of two proportions Nov 7, Wed Lesson 3.3: The t-distribution Enrollment and t-tests Nov 9, Fri Lab 6: Inference for Categorical Data Nov 12, Mon Quiz 6 in class Lesson 3.4: Difference of two means Nov 14, Wed Lesson 4.1: Linear Regression Nov 16, Fri Lab 7: Inference for Numerical Data
Due dates
• Lab 5: Nov 9, Start of Lab Section
• Lab 6: Nov 16, Start of Lab Section
• Lab 7: Nov 30, Start of Lab Section
• PS 3: Nov 19, 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

Unit 4 - Regression and Prediction

Resources
 Learning objectives: LO 4 Textbook: Chp 5 and 6
Class / lab
 Nov 19, Mon Quiz 7 in class Lesson 4.2: Residuals and Least Squares Nov 21, Wed Review Nov 23, Fri Thanksgiving Break - no class Nov 26, Mon Quiz 8 in class Lesson 4.3: Inference for linear regression Correlation of twin IQs Nov 28, Wed Lesson 4.4: Multiple regression Nov 30, Fri Lab 8: Simple Linear Regression Dec 3, Mon Quiz 9 in class Lesson 4.5: Model Selection Dec 5, Wed Lesson 4.6 Multiple Regression and ANOVA Analyzing professor ratings Dec 7, Fri Lab: Work on project (Optional)
Due dates
• Lab 8: Dec 7, Start of Lab Section
• PS 4: Dec 7 Fri, 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
• Final Project : Dec 13 11:55PM
• CAOS PostTest: Dec 13 11:55PM