PSY 201: Introduction to Statistics in Psychology

Fall 2023
MWF 11:30 am - 12:20 pm
Schleman Hall, Room 313

Breaking news...

23 September 2023: The date/time of the final exam has been announced. It will be Tuesday, December 12 at 8:00 am - 10:00 am in Schleman Hall, Room 313 (same as the regular class location).
29 September 2023: Grades are posted for exam 1. Each row indicates a student by their IntroStats ID. Please check that the grades are correct and let us know of any errors. Scores on exam 1 were disappointing. Also listed is an estimated grade that supposes your scores on the other exams are the same as for exam 1 (hopefully not true) and that the other components of the class have the same score as right now. The estimated class grades are pretty good, overall.
16 October 2023: Someone pointed out that the links to the full set of lectures only included lectures up through lecture 5. I've updated the files so that they now have all lectures.
31 October 2023: Grades are posted for exam 2. Each row indicates a student by their IntroStats ID. Please check that the grades are correct and let us know of any errors. Scores on exam 2 were, on average, similar to exam 1, but the distribution is different with fewer high scores and also fewer low scores. The estimated grade that supposes your scores on the remaining exams are the average for exams 1 and 2 and that the other components of the class have the same score as right now. The estimated class grades remain pretty good, overall.
27 November 2023: Grades are posted for exam 3. Each row indicates a student by their IntroStats ID. Please check that the grades are correct and let us know of any errors. Scores on exam 3 were, on average, better than the previous exams. The estimated grade supposes your scores on the remaining exams are the average for exams 1-3 and that the other components of the class have the same score as right now. The estimated class grades remain pretty good, overall. [Note, I had mis-sorted the Reading and Homework grades, so some students had the grades for those parts of the course. The grade sheet has been corrected. Do let me know if you see any other problems.]
07 December 2023: Grades are updated to reflect completion of the reading, homework, and STATLAB assignments. Each row indicates a student by their IntroStats ID. Please check that the grades are correct and let us know of any errors.
08 December 2023: Grades are updated again to reflect the attendance scores. The only remaining score is the final exam. Each row indicates a student by their IntroStats ID. Please check that the grades are correct and let us know of any errors.
14 December 2023: Grades are updated with final exam scores and class letter grades. Scores on the final were quite a bit lower than for other exams, but it did not much affect the class grades.

Professor

Greg Francis

PSYCH 3186

494-6934

gfrancis@purdue.edu

Office hours: Monday, Wednesday and Friday 2:00-3:00 pm

I check my email frequently, feel free to use it for questions and setting up appointments. If you cannot make my office hours, we can schedule for another time.

Class home page
The Internet home page for this course is http://www.psych.purdue.edu/~gfrancis/Classes/PSY201/indexF23.html This class does not use Blackboard.

Text
IntroStats Online at https://wolverine.psych.purdue.edu/OnlineStatistics/index.shtml. This is an on-line textbook that requires a login. You will receive information on setting up and registering an account from the instructor. You will be graded for finishing the readings by the assigned day and time (always 11:00 am). A rough outline of the readings is given below. Precise readings (sections and their due dates) are given at the textbook site. Each assignment must be completed by the assigned date and time. The textbook grade counts as 10% of your class grade.

Homework
The IntroStats Online text includes end-of-chapter homework assignments. The rough schedule is below, with precise details (which questions) at the textbook site. All homework assignments must be completed by 11:00 pm on the due date. The homework grade will make up 20% of your class grade.

StatLab assignments
Also included with your textbook is access to a web site called StatLab Online. A StatLab account, with the same login credentials, will be created when you sign up for your IntroStats Online account. You will be given StatLab assignments throughout the semester that measure some aspect of your behavior. They 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. Your overall lab grade will make up 15% of your class grade. In the schedule below, individual labs are associated with different dates. You must complete the lab by 11:00 pm on the date indicated to get credit. 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 textbook 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. This score contributes to 5% of your class grade. Athletes and other special cases need to contact Dr. Francis.

Examinations
There will be three section exams and a final exam. The section exams will be in-class and the final exam will be given during the final exam period. Each section exam is worth 10% of your grade. The final exam is worth 15% of your grade, it will cover all topics of the course, and it is taken during the scheduled final exam period. Make-up exams will not be permitted unless you check with Dr. Francis at least 48 hours prior to the scheduled exam date to verify that your excuse allows you to take the exam at another time. Missed exams will receive a grade of 0. Study guides are available as links in the class schedule below.

Practice exams
Prior to each exam you will be given a practice exam. You must complete the practice exam and submit it to the TA for feedback by the date indicated in the schedule, below. Your grade on the practice exam is whether you complete the assignment, it is not based on the graded score of the practice exam. Completing the practice exams is worth 5% of your class grade. Practice exams should be given to the teaching assistant by the start of class on the day listed on the syllabus.

Lectures
The number links on the far left of the schedule (below) are to PDF copies of the lecture notes. You can also download a complete set of lecture notes (15 MB). If you print off the notes, you might prefer having them four slides to a page. Small changes may be made throughout the semester to individual lectures.

Teaching Assistant

Victoria Jakicic

PSYCH 3188

vjakicic@purdue.edu

Office hours:Tuesday and Thursday 1:00 - 2:30 pm

Schedule
Handouts are in portable document format (pdf). You can view them with a pdf viewer, for example, Adobe Acrobat Reader, which is probably already installed on university computers and is available for free at http://www.adobe.com/prodindex/acrobat/readstep.html.

SCHEDULE
No.	Date	Topic	Reading Assignments	Homework Assignments	StatLab Assignments	Practice Exams
01	August 21	Introduction
02	August 23	Measurement	Chapter 1
03	August 25	Plots	Chapter 2	Homework 1
04	August 28	Distributions
05	August 30	Central tendency	Chapter 3a	Homework 2	Frequency distribution - Speeded Reaction Time
06	September 1	Variability	Chapter 3b		Percentile Rank - Sense of Humor
--	September 4	Labor Day (No class)
07	September 6	Normal distribution	Chapter 4a	Homework 3
08	September 8	Normal distribution	Chapter 4b		Central Tendency - Horizontal Vertical Illusion
09	September 11	Normal distribution			Standard Deviation - Weber's Law
10	September 13	Correlation	Chapter 5	Homework 4
11	September 15	Correlation			Standard (z) scores - Memory Span	Practice Exam 1
12, Video	September 18	Probability	Chapter 6a	Homework 5
SG1	September 20	Review for exam			Correlation - Lexical Decision
--	September 22	SECTION EXAM I
13	September 25	Probability	Chapter 6b
14	September 27	Signal detection	Chapter 7a	Homework 6
15	September 29	Signal detection	Chapter 7b		Probability - Typical Reasoning
16	October 2	Sampling distributions	Chapter 8a	Homework 7
17	October 4	Sampling distributions	Chapter 8b
18	October 6	Hypothesis testing-mean	Chapter 9a	Homework 8
--	October 9	Oct. Break (No class)
19	October 11	Hypothesis testing-mean	Chapter 9b
20	October 13	Hypothesis testing-mean
21	October 16	Estimation	Chapter 10	Homework 9
22	October 18	Estimation			One-sample t test - Ebbinghaus Size Illusion	Practice Exam 2
23	October 20	Hypothesis testing-proportion	Chapter 11a	Homework 10
SG2	October 23	Review for exam			Confidence Intervals - Air Traffic Control
--	October 25	SECTION EXAM II
24	October 27	Hypothesis testing-correlation	Chapter 11b
25	October 30	Two samples - independent means	Chapter 12a	Homework 11
26	November 1	Two samples - independent means	Chapter 12b		Two-sample t-test - Emotional Stroop
27	November 3	Two samples - dependent means	Chapter 12c		Power -- Stroop Effect
28	November 6	Two samples - independent proportions	Chapter 13a	Homework 12
29	November 8	Two samples - dependent proportions	Chapter 13b
30	November 10	Two samples - independent correlations	Chapter 13c
31	November 13	Multiple testing	Chapter 14a	Homework 13		Practice Exam 3
SG3	November 15	Review for exam
--	November 17	SECTION EXAM III
32	November 20	ANOVA	Chapter 14b
--	November 22	Thanksgiving Break (No class)
--	November 24	Thanksgiving Break (No class)
33	November 27	Interpreting ANOVA	Chapter 14c
34	November 29	Power for ANOVA	Chapter 14d		ANOVA -- Judging Art
35	December 1	Dependent ANOVA	Chapter 14e			Practice Exam 4
36	December 4	Dependent ANOVA
37	December 6	Catch all		Homework 14
SGF	December 8	Review for final exam
No.	Date	Topic	Reading assignments	Homework assignments	StatLab assignment	Practice Exams