Fall 2019
MWF 9:30 am - 10:20 am
PSYCH, Room 3102
Notes
Greg Francis | PSYCH 3186 | 494-6934 | gfrancis@purdue.edu | Office hours: Monday, Wednesday and Friday 3:00-4:00 pm |
Learning Statistics with R (LSR). This free PDF is a draft of book. The focus is on learning statistics with the R programming language.
Homework
The first homework is provided in the schedule below. It is in an R file, so you can load it into the text editor you use for R.
StatLab assignments
Some assignments will use a web site called StatLab Online. Step-by-step instructions are in the syllabus along with a unique registration code that you use to set up your StatLab account. The labs are simple experiments that are run through the Internet and can be carried out at any computer lab on campus or at a home computer. At the end of each experiment you will need to calculate statistics that are appropriate for the experimental results. You get credit by finishing the experiment and answering all of the statistics questions correctly. Sometimes, I will also ask you to do similar calculations in R. You will find that computing the statistics is sometimes easiest if you copy and paste the data into a spreadsheet such as Microsoft Excel. If you have not previously used Excel, you may want to look over a tutorial to get started. Sorting is especially useful, and unfortunately is not covered in the previous tutorial. Some of the online calculators can also be useful.
Class attendance: Your presence for the lectures is mandatory, and will be checked each class period. Over the course of the semester, each student may miss up to 6 lectures without penalty. Additional absences will proportionally reduce your class attendance score. Athletes and other special cases need to contact Dr. Francis.
Examinations
There will be a midterm and a final exam.
Grading: Different components of the course will contribute individual scores that are then combined to make your class score. Letter grades are on a straight scale (no rounding). The components contribute as:
Component | Percent weight |
---|---|
Homework | 25% |
STATLAB | 15% |
Attendance | 5%% |
Midterm exam | 20% |
Final exam | 20% |
Project | 15% |
I prepared slides for a similar type of paper. You might find it useful as a template for your own presentation.
Garrett O'Day | PSYCH 3194 | goday@purdue.edu | Office hours: Monday 12-1 pm in Hillenbrand Hall (Room C102); Wednesday and Friday 10:30-11:30 am in PSYCH 3194 |
SCHEDULE | ||||
Date | Topic | Reading | Assignments | |
August 19 | Planning | |||
August 21 | Probability (notes) | |||
August 23 | Probability (notes) | USED: Chapter 1 | ||
August 26 | Distributions (notes1, notes2) | STATLAB - Speeded Reaction Time (class data) | ||
August 28 | Mean and standard deviation (notes1, notes2) | STATLAB - Weber's Law | ||
August 30 | Normal distribution and Percentiles (notes1, notes2) | |||
September 2 | Labor Day (No class) | |||
September 4 | Normal distribution and Percentiles | STATLAB - Memory Span | ||
September 6 | Computing in R | Homework 1 (due date changed to Sep 11), answer key | ||
September 9 | Normal distribution and Percentiles (notes, extra) | |||
September 11 | Signal Detection Theory (notes) | USED: Chapter 2 | ||
September 13 | Signal Detection Theory (notes) | Homework 2 (updated at 1 pm, on September 9), answer key | ||
September 16 | Underlying Distributions (notes) | |||
September 18 | Sampling Distributions (notes) | |||
September 20 | Hypothesis Testing of a Mean (notes, notes) | USED: Chapter 3 | ||
September 23 | Power for Hypothesis Testing of a Mean (notes) | |||
September 25 | ||||
September 27 | Homework 3 | |||
September 30 | Exploring the t test in R (code) | |||
October 2 | Multiple testing (code) | |||
October 4 | Hypothesis testing of two means (notes) | USED: Chapter 4 | ||
October 9 | Hypothesis testing of two means (notes) | |||
October 11 | ANOVA (notes) | Homework 4, STATLAB - Ebbinghaus Size Illusion | ||
October 14 | ANOVA contrasts (notes) | USED: Chapter 6 | STATLAB - Judging Faces | |
October 16 | ANOVA power (notes) | USED: Chapter 7 | STATLAB - Emotional Stroop Effect | |
October 18 | ||||
October 21 | Data Thuggery | GRIM test paper, Mini-GRIM test, Dijksterhuis et al. paper, Dijksterhuis et al. supplement | ||
October 23 | Data Thuggery | SPRITE online, Wansink et al. paper, Carter et al. paper | ||
October 25 | Data Thuggery | STATCHECK online, Forster & Denzler (2012), Investigation of Forster & Denzler (2012), Data Colada, R code | ||
October 28 | STATLAB - Judging Art | |||
October 30 | P-hacking (Online app) | STATLAB - Stroop Effect | ||
November 1 | P-Curve | R code for p-distributions, Carney et al. (2010), Check risk proportions Spreadhseet, Chi square calculator, Test of two proportions, p-checker app | ||
November 4 | slides | USED: Chapters 7 and 9 | ||
November 6 | ||||
November 8 | Test for Excess Success slides | USED: Chapters 9 and 10 | Homework 5, as PDF | |
November 11 | Test for Excess Success slides | USED: Chapter 11 | ||
November 13 | Test for Excess Success | |||
November 15 | No class | |||
November 18 | Test for Excess Success slides | USED: Chapter 12 | ||
November 20 | Test for Excess Success | Homework 6, as PDF, Sparrow et al. (2011), Huang et al. (2011), STATCHECK online | ||
November 22 | Test for Excess Success | |||
November 25 | Student presentations | Project, as PDF | ||
November 27 | Thanksgiving Break | |||
November 29 | Thanksgiving Break | |||
December 2 | Student presentations | |||
December 4 | Student presentations | |||
December 6 | Student presentations | |||
Date | Topic | Reading | Assignments |