Slides and course notes

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Schedule

Date Topic Info Assessment
Sep 3 Introduction

Sep 3 No lab

Sep 8 Confidence intervals & statistical models

Sep 10 Gaussian dist, SEM & CLT

Sep 10 No lab

Sep 15 Gaussian dist, SEM & CLT

Sep 17 P, one- vs. two-tailed, CI’s vs. P, P-hacking

Sep 17 Lab: intro to R chap 1-4
Sep 22 Power & Bayes

Sep 24 Correlation and regression

Sep 24 Lab: Power analysis with GPower* chap 8 Report 1: Hypothesis
Sep 29 Correlation and regression

Oct 1 Comparison of 2 groups

Oct 1 Lab: Correlation & linear regression chap 9 Report 2: power
Oct 6 Comparison of 2 groups

Oct 8 One-way Anova

Oct 8 Lab: Two-sample comparisons chap 10 Report 3: Regression

Reading week

Oct 20 One-way Anova
Report 4: Two-sample comparisons
Oct 22 No class

Oct 22 Mid-term in person during practical

Oct 27 Multi-way ANOVA

Oct 29 Multi-way ANOVA

Oct 29 Lab: One-way ANOVA chap 11
Nov 3 Multiple regression

Nov 5 Multiple regression

Nov 5 Lab: Multiway ANOVA chap 12 Report 5: One-way ANOVA
Nov 10 ANCOVA

Nov 12 ANCOVA

Nov 12 Lab: Multiple regression chap 13 Report 6: Multi-way ANOVA
Nov 17 Comparing counts & proportions, log-linear models

Nov 19 Comparing counts & proportions, log-linear models

Nov 19 Lab: General linear model chap 14 Report 7: Multiple regression
Nov 24 a glimpse at extending the linear model

Nov 26 General discussion and topic to decide

Nov 26 Lab: Analysis of frequency data chap 15 Report 8: General linear model
Dec 1 Q&A


Final exam
during exam period

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