Slides and course notes

Slides availability and submissions

Slides and submission of course work is done via brighspace.

Schedule

Date Topic Material Assessment
Sep 4

Introduction
Sep 4

No lab
Sep 9

Confidence intervals & statistical models
Sep 11

Gaussian dist, SEM & CLT
Sep 11

No lab
Sep 16

Gaussian dist, SEM & CLT
Sep 18

P, one- vs. two-tailed, CI’s vs. P, P-hacking
Sep 18

Lab: intro to R

chap 1-4

#1 Hypothesis and model
Sep 23

Power & Bayes
Sep 25

Correlation and regression
Sep 25

Lab: Power analysis with GPower*

chap 8

Report 1: Hypothesis
Sep 30

Correlation and regression
Oct 2

Comparison of 2 groups
Oct 2

Lab: Correlation & linear regression

chap 9

Report 2: power
Oct 7

Comparison of 2 groups
Oct 9

One-way Anova
Oct 9

Lab: Two-sample comparisons

chap 10

Report 3: Regression

Reading week
Oct 21

One-way Anova
Oct 23

No class
Oct 23

Mid-term

in person during practical
Oct 28

Multi-way ANOVA
Oct 30

Multi-way ANOVA
Oct 30

Lab: One-way ANOVA

chap 11

Report 4: Two-sample comparisons
Nov 4

Multiple regression
Nov 6

Multiple regression
Nov 6

Lab: Multiway ANOVA

chap 12

Report 5: One-way ANOVA
Nov 11

ANCOVA
Nov 13

ANCOVA
Nov 13

Lab: Multiple regression

chap 13

Report 6: Multi-way ANOVA
Nov 18

Comparing counts & proportions, log-linear models
Nov 20

Comparing counts & proportions, log-linear models
Nov 20

Lab: General linear model

chap 14

Report 7: Multiple regression
Nov 25

a glimpse at extending the linear model
Nov 27
Nov 27

Lab: Analysis of frequency data

chap 15

Report 8: General linear model
Dec 2

Q&A

Final exam

during exam period

About slides and notes

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