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.