Ewan Dunbar (ewan.dunbar@univ-paris-diderot.fr)

Class schedule: Mondays, 4:00 PM - 6:00 PM in ODG 309.

Office hours: Wednesdays, 3:30-5:00, or by appointment.

This web page: http://ewan.website/stats_m2_2018/

Readings on Zotero

This course introduces R and basic concepts of statistical inference using randomization methods.

Things from class

What do I have to do for this week?

Class date Finish reading Submit by the end of the week
Sept. 10 (week 1) By Friday at midnight: (Sept. 14) Send me your Github username
Sept. 17 (week 2) Git tutorial, R installation info, Datacamp R course 1, 2, and 5, Phillip Good, secs. 1.1 to 1.5
Sept. 24 (week 3) Phillip Good, secs. 1.6 to 1.10, 2.1 to 2.4
Oct. 1 (week 4) Phillip Good, secs. 3.1 to 3.6 By Friday at midnight: (Oct. 5) Assignment 1
Oct. 8 (week 5) Phillip Good, Sections 1.7 and 1.8; Chapter 4
Oct. 15 (week 6)
Oct. 22 (week 7) Re-read : Sections 3.4 and 4.3
Oct. 29 : break By Friday at midnight: (Nov. 2) Assignment 2
Nov. 5 (week 8)
Nov. 12 (week 9) Phillip Good, Sections 7.1-7.3 By Friday at midnight: (Nov. 16) Project proposal (Project proposal info)
Nov. 19 (week 10) Andy Field, Sections 8.1-8.6; Contrasts tutorial
Nov. 26 (week 11)
Dec. 3 (week 12)
Monday, Dec 10 at 23:59 Assignment 3
Friday, Dec. 21 at 23:59 Final project

Evaluation

  1. Three assignments: 60% total

Submitted online using Github (this will be explained in the first assignment).

  1. Project. 40% (35% project + 5% proposal) Describe a data analysis problem, give some example data, and demonstrate a dependent measure an analysis that demonstrably works to answer the question posed in the problem.

Topics