Module Overview

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Acronyms: PDS: Passion Driven Stats, CP: Course Packet

Last Updated: Thu Jan 15 9:29:36 PM

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Welcome!
Introduction to the class Syllabus HW 01: Setup Quiz 01
How to use the class tools Welcome slides
Statistics in the service of science Course Packet Intro PDS 1 (6min)
Literate Programming with R and Quarto Motivating Example
Choosing your Research Data PDS 2: Choosing a data set Start at 19min [Developing a research topic that interests you](https://media.csuchico.edu/media/Developing+a+Research+Question+that+Interests+You/0_rxvxwbas)
Preparing to conduct research
Asking Answerable Questions CP 1.1 HW02: RQ Formulation Quiz 02
Structure of Data CP 1.2 PDS 2 (5min) Minute 7-12
Populations and Samples CP 1.3 PDS 2 (7min) Up to minute 7
Study Design CP 1.4
Conducting a Lit Review How to read a journal article PDS 3: Lit review
Preparing data for analysis
Working with data in R CP 1.5 PDS 4: Working with Data in R (33min) HW03: Preparing Data for Analysis
Data management CP 1.5.2, CP Appendix PDS 5: Data Management (33min)
More Data management Reference guide Data Management tutorial video
Describing Distributions
Describing numerical variables CP 2.1 PDS 6: Univariate Viz (30min) HW04: Describing Distributions
Describing categorical variables CP 2.2
Describing Relationships
Describing relationships between two variables CP 2.3 PDS 7: Graphing relationships (36min) HW05: Describing Relationships
Foundations for Inference
Motivating Example - case study CP 3.1
Probability and Distributions CP 3.2-3.3 OI: Defining Probability
Normal Distribution CP 3.4 OI 3.1: Normal Distribution (20 min)
Assumptions for Inference CP 3.5-3.6
Interval Estimation CP 3.7 OI 4.2 Confidence Intervals (9 min)
Hypothesis Testing CP 4 PDS 8: Hypothesis Testing (30min)
OI 4.3.1: Hypothesis Testing Fundamentals (9 min)
Bivariate Inference
Two Sample T-Test CP 5.2 OI 5.3: Difference between two means HW06: Bivariate Modeling
ANOVA CP 5.3 PDS 9: ANOVA
Chi-Squared CP 5.4 PDS 10: Chi-Square
Regression Modeling
Correlation TBD PDS 11: Correlation
Simple Linear Regression CP 6 PDS 14: Multivariable Modeling and Confounding Only 19:33min - 29min HW07: Simple Linear Regression Modeling
Causation PDS 13: Causation
Confounding PDS 14: Multivariable Modeling and Confounding Up to 19 min
Multiple Regression
Multiple Linear Regression CP 7 PDS 14: Multivariable Modeling and Confounding After 29 minutes. HW08: Multiple Linear Regression Modeling
Model Building CP 7.5