1. Reasoning in Psychology Using Statistics
Spring 2018

2. Announcements Outline Course format Brief syllabus review
Lecture classes: Conceptual foundations
Labs: Calculations and SPSS
Brief syllabus review
30 min intro video
Announcements

3. What are Statistics? “It’s about almost everything in modern society.”
Bennett, Briggs, Triola (2003), Statistical Reasoning for Everyday life
Statistics: tools, used to make data based decisions
Descriptive statistics
Inferential statistics
Data: numbers with a context
How were numbers measured, what do they mean?
Examples of stocks, sports, weather
What are Statistics?
Arthur Benjamin: Teach statistics before calculus
Peter Donnelly: How juries are fooled by statistics
Why do I have to take stats

4. Where is it?: ReggieNet (via )
Syllabus
Where is it?: ReggieNet (via )
Direct link to syllabus:
Includes contact information for me and your lab instructors
Course Calendar and Outline
Powerpoint lectures, links to labs, due dates, etc.
Evaluation:
1000 points total, for A, etc.
I don’t round up, so 899 is a B
Exams: In-lecture & in labs, quizzes, final project, labs

5. Reading Packet (download the pdf)
Instead of an expensive textbook
Read it before coming to lecture and going to labs
Practice questions (solutions are in the back)
Reading Packet (download the pdf)

6. Video review Main points from the video
Every statistical test starts with an appropriate selection of subjects
Inferences must be based on more than one observation because of variability
Two types of error must be controlled while testing hypotheses
A decision is based on two things:
The difference between groups
The variability of the scores
Week 3
Weeks 5&6
Inferential statistics: hypothesis testing – rats, robots, and roller skates
Wiley (1977)
Week 10
Weeks 10-15
Video review
The Credibility Gap
Michael McKean
David Lander
Harry Shearer

7. Questions? Today’s lab Getting to know Your GAs and the Lab set up
ReggieNet site
Practice a quiz
Uploading a file
Submitting and assignment
Questions?