Introduction to Statistics Using R

Administrivia

  • Course number: Psychology 9041B
  • Instructor: Paul Gribble; paul [at] gribblelab [dot] org; office: WIRB 4122
  • TA: Kathleen Lyons ; kylons8 [at] uwo [dot] ca
  • Lectures: Tuesdays 2:00–3:30pm, in WIRB 1130
  • Labs: Thursdays 1:30pm–3:00pm, in WIRB 1130
  • course syllabus

Schedule

Class Date   Topic Assignment
1 Jan 08 0 no class  
2 Jan 10   Introduction  
3 Jan 15 1 Probability A01 (due Jan 24)
4 Jan 17   Lab: using R, ggplot, & R Markdown (Kathleen) PSYCH9041_R_Lab.R chapter_1_table_1.csv
3 Jan 22 2 Hypothesis Testing A02 (Jan 31)
4 Jan 24   Lab: Hypothesis Testing  
5 Jan 29 3 One Way ANOVA A03 (Feb 7)
6 Jan 31   Lab: One Way ANOVA  
7 Feb 05 4 Multiple Comparisons & Type-I Error A04 (Feb 14)
8 Feb 07   Lab: multiple comparisons & post-hoc tests  
9 Feb 12 5 Statistical Power & Effect Size A05 (Feb 21)
10 Feb 14   Lab  
11 Feb 19 - reading week—no class A06 (Feb 28)
12 Feb 21   reading week—no class  
11 Feb 26 6 Two- and Three-Factor ANOVA Midterm Exam (Mar 7)
12 Feb 28   Lab  
13 Mar 05 7 Repeated Measures ANOVA & Split-Plot ANOVA A07 (Mar 14)
14 Mar 07   Lab  
15 Mar 12 8 ANCOVA A08 (Mar 21)
16 Mar 14   Lab  
17 Mar 19 9 Multiple Regression A09 (Mar 28)
18 Mar 21   Lab (Kathleen)  
19 Mar 26 10 Bootstrapping & Resampling A10 (Apr 4)
20 Mar 28   Lab (Kathleen)  
21 Apr 02 11 Maximum Likelihood Estimation Final Exam (Apr 18)
22 Apr 04   Lab  

*note: The Midterm Exam and Final Exam are take-home exams

Textbook

R resources

Grades

  • Assignments: 7 points each x 10 = 70 %
  • Midterm Exam: 15 points = 15 %
  • Final Exam: 15 points = 15 %