| Topic | Materials | Assignments | Quiz |
|---|---|---|---|
| Welcome! | |||
| Introduction to the class | Syllabus Welcome Course Packet Intro |
HW 01: Setup | Quiz 01 |
| Literate Programming with R and Quarto | Motivating Example in Jupyterhub | ||
| Choosing your Research Data | Developing a research topic that interests you Data sets and Codebooks |
Stage1: Data and Topic Propsal | |
| Preparing to conduct research | |||
| Asking Answerable Questions | CP 1.1, IMS 1.1 How to read a journal article |
HW02: RQ Formulation | |
| Structure of Data | CP 1.2, IMS 1.2 Data Basics |
Quiz 02 | |
| Populations and Samples | CP 1.3, IMS 12.1 Observational Studies and Sampling Strategies (4 min) |
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| Study Design | CP 1.3, IMS 1.2.5, 2.2, 2.3 Designing Experiments |
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| Preparing data for analysis | |||
| Working with data in R | CP 1.5, CP Appendix Math 130 |
IMS Tutorial 1 -Language of data Lesson 01 and 02 only | Quiz 03 |
| Data Management | ASCN Reference guide Data Management tutorial walk through (18 min) |
HW03: Preparing Data for Analysis | |
| Describing Distributions | |||
| Describing numerical variables | CP 2.1, IMS 5.2-5.6 Summarizing and Graphing Numerical Data |
HW04: Describing Distributions | Quiz 04 |
| Describing categorical variables | CP 2.2, IMS 4.1 | ||
| Describing Relationships | |||
| Relationship between two categorical variables | CP 2.3.1, IMS 4.1-4.3 Exploring Categorical Data |
HW05: Describing Relationships | Quiz 05 |
| Relationship between one quantitative and one categorical variable | IMS 4.6 | ||
| Relationship between two quantitative variables | IMS 5.1 and 7.1.4 for scatterplots and correlation | ||
| Research Project | Stage 2: Introduction and Motivation | ||
| Foundations for Inference | |||
| Motivating Example - case study | CP 3.1, IMS 1.1 Using Randomization to Analyze a Gender Discrimination Study |
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| Sampling Distributions | CP 3.2, IMS 13.1 and 13.3 (CLT) Variability in Point Estimates Foundations for Inference: Point Estimates |
HW06: Foundations for Inference | Quiz 06 |
| The Central Limit Theorem | IMS 13.1 and 13.3.2 | ||
| Probability and Distributions | CP 3.4 Probability |
Quiz 07 | |
| Normal Distribution | IMS 13.2 for the normal model IMS 19.2.2-19.2.3 for normality conditions and the t-distribution Normal Distribution (20 min) |
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| Hypothesis Testing | |||
| Hypothesis testing using mathematical models | CP 4.1, IMS 11.3 Hypothesis Testing (9min) |
Quiz 08 | |
| Interval Estimation | CP 4.2 IMS 12.3 for the general idea; IMS 13.3.3 and 13.6.3 for mathematical intervals and interpretation Confidence Intervals (9 min) |
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| Decision Errors | CP 4.2, IMS 14.1-14.3 | ||
| Practical vs. Statistical Significance | CP 4.3, IMS 11.3.2 and 14.1 | ||
| Bivariate Inference | |||
| A unifying model framework | |||
| Quantitative Outcome, Binary Covariate | Difference between two means | HW07: Bivariate Model | Quiz 09 |
| Quantitative Outcome and Categorical Explanatory | |||
| Categorical Response, Categorical Explanatory | CP 5.4, IMS ch 18 IMS Chapter 18: two-way tables and chi-squared inference; Chapter 17 for two binary variables Drilling off the Coast of California |
Quiz 10 | |
| Research Project | Stage 3: Analysis and conclusions | ||
| Simple Linear Regression | |||
| Least Squares Regression Estimation | CP 6.1, IMS 7.2.1-7.2.3 Line Fitting, Residuals, and Correlation Fitting a Line with Least Squares Regression |
HW09: Simple Linear Regression Modeling | Quiz 11 |
| Coefficient of Determination, R-squared | CP 6.1.4, IMS 7.2.5 | ||
| Outliers | CP 6.2, IMS 7.3 Types of Outliers in Linear Regression |
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| Model Predictions | CP 6.3, IMS 7.1.2 and 7.2.3-7.2.4 Predicting Spouse Age |
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| Model Assumptions | CP 6.4, IMS 24.6 | ||
| Inferences on Regression Parameters | CP 6.5, IMS 24.2-24.5 Inference for Linear Regression |
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| Multiple Regression | |||
| Multiple Linear Regression | CP 7.1, IMS 8.1-8.2 Introduction to Multiple Regression |
HW10: Multiple Linear Regression Modeling | Quiz 12 |
| Interpreting Coefficients | CP 7.2, IMS 8.1, 8.2, 25.1 | ||
| Model Assumptions | CP 7.3, IMS 24.6, 25.2 Checking Multiple Regression Diagnostics Using Graphs |
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| Model Building | CP 7.5 | ||
| Research Dissemination | |||
| Create a research poster | Watch PDS 15: Writing for Poster presentations | Stage 4: Dissemination | |
Module Overview
⚠️ Details are subject to change. See Canvas for due dates.
Acronyms: IMS: Intro to Modern Statistics, CP: Course Packet
Last Updated: Sun Aug 23 7:26:55 PM