PSY 201: Introduction to Statistics in Psychology

Fall 2019
MWF 11:30 am - 12:20 pm
Peirce Hall, Room 277

Breaking news

13 December: The final exam has been graded. The scores are reasonable. You can see your final class grade. The first column gives the number at the end of your IntroStats login ID.
December 3: During final exam week, Maria will have office hours on Tuesday and Wednesday at 9:15 - 10:15 am. Dr. Francis will have regular office hours during final exam week.
November 19: Exam 3 has been graded. The scores are disappointing, but the estimated class grade remains pretty good. You can see your estimated grade (and other component grades) and compare how you did to the rest of the class. The first column gives the number at the end of your IntroStats login ID.
October 25: Exam 2 has been graded. The scores are quite good. You can see your estimated grade (and other component grades) and compare how you did to the rest of the class. The first column gives the number at the end of your IntroStats login ID.
September 13: I promised to recheck HW5, Q24 after class. In my office I got the right answer the first time I computed r. In class, perhaps I messed up the sort somehow.
September 23: Exam 1 has been graded. The scores are quite low, but the estimated class grade (which considers all the other components of the class) is rather reasonable. You can see your estimated grade (and other component grades) and compare how you did to the rest of the class. The first column gives the number at the end of your IntroStats login ID. (The grade sheet was updated to fix an error in grading attendance.)

Professor

Greg Francis

PSYCH 3186

494-6934

gfrancis@purdue.edu

Office hours: Monday, Wednesday and Friday 3:00-4:00 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/indexF19.html This class does not use Blackboard.

Text
IntroStats Online at https://introstatsonline.com. 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 10:00 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 10:00 pm on the due date. The homework 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 10:00 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). Small changes may be made throughout the semester to individual lectures.

Teaching Assistant

Maria Kon

PSYCH 3188

mkon@purdue.edu

Office hours:Monday, Wednesday and Friday 9:15-10:15 am

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