Course I taught as adjunct faculty in the Department of Psychology while I was a PhD candidate. Special thanks to Professor Daniel Storage for sharing his materials with me to produce the course contents below.
The course was created in RStudio, using RMarkdown, xaringan, and xaringanthemer. For mathematical formulas, LaTeX was used (e.g., see Review Packets).
For an overview of the course content, please see the syllabus.
Resources
RStudio | Rmarkdown | xaringan | xaringanthemer | LaTeX | Steve's Templates
Note: Syllabus was created using Steve's Templates.
01: Introduction to Statistics code | pdf
02: Central Tendency and Variability code | pdf
03: Visualizing Data Using Graphs code | pdf
04: Correlations, Reliability, and Validity code | pdf
05: Using Hypotheses to Test Questions code | pdf
06: Probability and the Normal Curve code | pdf
07: Introduction to Statistical Significance code | pdf
09: Differences from the Population code | pdf
10: Differences Between Two Groups I code | pdf
11: Differences Between Two Groups II code | pdf
12: Differences Between Many Groups code | pdf
13: Differences Between Many Factors code | pdf
14: Testing Relationships Using Correlation code | pdf
15: Making Predictions Using Regression code | pdf
16: Final Exam Review code | pdf
Guides assisted students with hand calculations of the material taught during lecture. Each Guide is meant to provide step-by-step instruction to understand why the test statisic is used, how to calculate it, and how to interpret it.
01: Standard Deviation code | pdf
02: Other Measures of Variability code | pdf
04: Calculating Internal Consistency code | pdf
05: Calculating One-sample z-test code | pdf
06: Standardization and z-Scores code | pdf
07: Effect Size for One-sample z-test code | pdf
08: Calculating One-sample t-test code | pdf
09: Effect Size for One-sample t-test code | pdf
10: Calculating an Independent samples t-test code | pdf
11: Effect Size for an Independent samples t-test code | pdf
12: Calculating a Dependent samples t-test code | pdf
13: Effect Size for a Dependent samples t-test code | pdf
14: Calculating a One-way ANOVA code | pdf
15: Effect Size for a One-way ANOVA code | pdf
16: Calculating a t-test for a Correlation code | pdf
17: Calculating a simple Linear Regression code | pdf
Review Packets are intended to provide additional hand-calculation prepartion for the Midterm and Final Exams.
01 Midterm Review Packet code | pdf
02 Final Exam Review Packet code | pdf
Definitions are key conceptual terms needed to perform well on the Midterm and Final Exam.
01 Midterm Definitions code | pdf
02 Final Exam Definitions code | pdf
Formula sheets that are available for reference during the Midterm and Final Exam.