Schedule

Prof. Justin Dainer-Best

The schedule described in the syllabus is included here.

Day Date Topic Reading Due
Monday Aug 31 Intro
Lab Aug 31/Sep 3 Intro to R Navarro
Wednesday Sep 02 Statistical Concepts Ch. 1 Quiz 1
Monday Sep 07 Central Tendency and Variability Ch. 2 Quiz 2
Lab Sep 7/10 Practicing with R
Wednesday Sep 09 z-scores and probability Ch. 3 Quiz 3
Monday Sep 14 Estimating unknown quantities from a sample Quiz 4
Lab Sep 14/17 Visual Displays of Information
Wednesday Sep 16 Hypothesis Testing Ch. 4 Homework 1
Monday Sep 21 Hypothesis Testing Quiz 5
Lab Sep 21/24 Hypothesis testing
Wednesday Sep 23 Testing Hypotheses with Means of Samples Ch. 5
Monday Sep 28 Remote: Visualizing Data (with Drew Stanley) Homework 2; Quiz 6
Lab Sep 28/Oct 1 t-test for a single sample Ch. 7
Wednesday Sep 30 t-test for a single sample Quiz 7
Monday Oct 05 t-test for independent means Ch. 8
Lab Oct 5/8 Visualizations II
Wednesday Oct 07 t-test for independent means Quiz 8
Monday Oct 12 Online: t-test for dependent means Due by Sunday: Quiz 9
Lab Oct 12/15 Online: t-test for dependent and independent means Turn in on Brightspace
Wednesday Oct 14 Type I and Type II errors; Effect Size Ch. 6 Homework 3
Monday Oct 19 Statistical Power Quiz 10
Lab Oct 19/22 Solo project
Wednesday Oct 21 Confidence Intervals and Uncertainty Poldrack Quiz 11
Monday Oct 26 One-way ANOVA Ch. 9 Homework 4
Lab Oct 26/29 One-way ANOVA Solo project
Wednesday Oct 28 One-way ANOVA Quiz 12
Monday Nov 02 Correlation and Regression Ch. 11
Lab Nov 2/5 Correlation
Wednesday Nov 04 Correlation and Regression Ch. 12 Homework 5; Quiz 13
Monday Nov 09 Factorial ANOVA and Interactions Ch. 10
Lab Nov 9/12 Academic Writing & Plagiarism Guide to using sources
Wednesday Nov 11 Factorial ANOVA and Interactions Homework 6; Quiz 14
Monday Nov 16 Chi Square Ch. 13 Quiz 15
Lab Nov 16/19 Chi Square and factorial ANOVA
Wednesday Nov 18 When assumptions fail Ch. 14 Due 11/23: Homework 7
Monday Nov 30 Bayesian Statistics Wagenmakers
Lab Nov 30/Dec 3 Project Workday
Wednesday Dec 02 Bayesian Statistics Quiz 16
Monday Dec 07 Applications
Lab Dec 7/10 Asking questions and knitting documents
Wednesday Dec 09 Advising Day Class report 8
Friday Dec 11 Final papers
Wednesday Dec 14 Final projects