Sadistics Statistics !!
Your class ID is:
Spring 2015: Proposed Syllabus1 for Psychology 301: Statistics
Jeff Sinn, Ph.D., Assoc. Prof of Psych.
Office: Kinard 132, p: 323-2638 fax: 2371
email: sinnj [at..] winthrop.edu
http://faculty.winthrop.edu/sinnj/
Cell (ask me): ________________ (9am-8pm)
Accounts &
Passwords:
Office Hours:
Monday: 1:30-4:00
Tues/Thr: 3:15-3:30
Tuesday: 10:45-11:45
often 11-12 Thursday, too
Kinard 302 (lecture), 116 (lab)
Lecture meets T/R 9:30-10:45
Labs meet by section:
 001 (21610): M 8-9:50
 002 (21611): M 10-11:50
-- Other times by appoint
Schoology:
ID: __________________ PW: _________________
Quizlet:
ID: __________________ PW: _________________
Dropbox:
ID: __________________ PW: _________________
Goals Addressed: Departmental: (2) Research Methods, (3) Critical Thinking Skills, (6)
Information and Technological Literacy, (7) Communication Skills. Touchstone: (2)
Quantitative Skills, (3) Critical Thinking & Problem Solving
Learning Outcomes: You will learn how to …
 Interpret empirical outcomes of psychological studies using statistics.
It’s a fact – about
62.78% of
statistics are just
plain made up.

Apply the logic of experimental design (i.e., identify independent, dependent, and extraneous
variables; distinguish treatment effect from sampling error; explain the meaning of a “significant”
difference).

Calculate and understand the formulas for many basic statistics (e.g., mean, median, mode, standard
deviation, one-sample t-tests).

Use the statistical software package SPSS (ie, entering data, running analyses, interpreting results) for
both basic and more advanced statistics (e.g., regression, analysis of variance).

Select the appropriate statistic for the task at hand.

Write clearly about statistics as one would when preparing a research article for publication.

Make waffles using an electric stapler and coconut oil (if time allows)
Supplies (that you’ll need to bring daily, sans Lama)
 Course pack: Provided in class; Calculator (with sq. root); Additional Printing: Additional
materials students will print on their own ($10 or less); ACC Accnt; Ear buds (for on-line lectures);
Smartphone pdf scanner app: For submitting assignments electronically to Dropbox; Android
examples: Genius Scan, Scanbot, CamScanner, etc.; Apple examples: ScannerPro (what I use), Genius
Scan, etc. 1 Medium Sized Lama: 150-200 lbs, well-groomed and recently sheered.
Note: This is a proposed syllabus – it outlines my suggestions on how you can learn about statistics and research in this
course. If any of my suggestions, plans or ideas don’t help you learn, propose alternatives. In other words, we can
customize the course to ensure we achieve the basic objectives listed above – but even these are up for discussion!
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Student Learning Activities and Grade Weighting: Track your grades here…
Quiz Grades
Component
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Test #1
Test #2
Final #1
Final #2
Quizzes
Engagement
Perc.
20%
20%
20%
20%
10%
10%
100%
Tutors:
Some students find tutoring very helpful. If you would like me to
identify potential tutors, see me and I’ll find some good people.
You will need to work out an arrangement with other students as
tutors, which typically involves payment of $10-$15 per hour.
A
Grading Scale
94-100
C 74-76
A-
90-93
C-
70-73
B+ 87-89
D+ 67-69
B
84-86
D
64-66
B-
80-83
D-
60-63
F
59 or less
C+ 77-79
Recommended Tutors (TBA):
Engagement
Throughout the course I will assess your level of preparation for class
and your contribution to the learning environment of the class. I’d
hesitate to call this “participation,” because participation by itself is
only part of what I’m looking for. I’ll assess this in numerous ways:





Preparation for class – homework, reading, & studying
Study of material covered in previous class
Asking questions, intellectual curiosity
Attendance (Note: Please have me correct any errors within one week)
Getting to class on time. If needed, set two alarm clocks or
get a vibrating alarm clock.
 What if the class is too easy, can I just skip it? If you don’t
find class time valuable, tell me, and we’ll work out an
alternative arrangement. I won’t be offended. If don’t talk to me, I will just assume you are
simply cutting class.
 Winthrop 25% rule: Missing 25% or more of class results in an automatic F.
Policies
Extra Assistance: I desperately want you to do well in the course, and can provide extra help to
make that happen. If you are working hard and don’t get it – PLEASE COME SEE ME! I will give
you as much time and energy as you put into the class. I won’t, however, provide extra help if
you haven’t first demonstrated a rock-solid effort.
Students with Disabilities: If you have a disability and need accommodations, contact Disabilities
Services at 323-3290 as soon as possible. You will provide me with the Professor Notification Form
so I can make whatever accommodations you need.
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Extra Credit. Occasionally I will offer extra credit for you attending an event. If you attend and send
me an email with two paragraphs explaining the two most important things you learned and submitted
that to me within 1 week of the event I’ll add a specified number of points to your final quiz grade.
Class Partner: Pick a class partner as a backup system in case an emergency arises and you miss class.
If you ever miss class, you class partner should collect the hand-outs, assignments, and notes, and get
this information to you. As a last resort, you can see me for materials during my office hours.
Responsibility for Missed Classes: If you must miss a class, you are responsible for contacting
other students in the class to learn what was missed (assignments, readings, changes to test dates,
handouts, etc.) before the next class meeting. For example, if work is assigned on a day you miss and
it is due the next class period, you are still responsible for the assigned work. If you cannot get the
needed information from other students, contact me.
Request for Leniency: If a situation beyond your control causes you to miss class or lose some
points you can ask for me to take that into account. Submit a short email within 1 week following the
event. Please indicate in the email itself (no attachments):
 Date of the problem (e.g, when you missed class, didn’t have your homework done, etc.)
 A simple & short explanation of what happened (e.g., death in the family, alien abduction).
Email to sinnj@winthrop.edu with LENIENCY REQUEST in the subject field. I will save all these and
will look at them at the very end of the semester, considering your request in light of our overall effort
during the semester. I’m usually very generous with students who’ve demonstrated a solid
commitment to the course. Note: Student athletes must submit this sort of request each time
your sport causes you to miss class.
Test Make-ups: Given a legitimate reason for missing an exam, a student can make-up a test. To
justify your reason, you must contact me as soon as humanly possible and provide written
documentation (e.g., a doctor’s letter, an obituary notice).
Use Winthrop Email: Please check your Winthrop Email account everyday M-F. If you’re not on
the class listserve, email imailsrv@class.winthrop.edu with the message “subscribe PYSC301xxx your
name” (replacing xxx with correct section number  Also, when emailing me, please address it (e.g.,
Dear Dr. Sinn), sign it (-Jenny Hogwartz), and treat it as a professional communication; please include
your phone number.
Academic Honesty: You must do your own work. Although you may ask for general help from
other students, you cannot copy work. When in doubt, ask. Dishonesty can result in severe penalties,
including a grade of F in the course. You are also obliged to report any suspicious activity.
Witnessing academic dishonesty without alerting me is academic dishonesty. More details in the
Student Handbook, under Student Conduct Code Academic Misconduct Policy.
Syllabus Changes Possible: Though major changes are unlikely, any parts of this syllabus might
change at any time. I’ll do so in a timely fashion, both in class and via email.
MISC
Teaching feedback (I’ll tell you when to use these)
1. Identify 1 or 2 specific things your instructor does that help you learn.
2. Identify 1 or 2 specific things your instructor does that interfere with your learning.
3. Give 1 or 2 specific, practical suggestions for how the instructor could improve your learning in
this course.
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Learning feedback
Write your name on piece of paper, and answer the following questions:
1. What was the most useful or meaningful thing you learned during this session?
2. What question(s) remain upper-most in your mind?
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Psyc 301 Entertainment Schedule, Spring 2015
 Expect pop quizzes in lecture or lab. Always ask if there is homework. It’ll be due regardless.
PREP WORK (DUE BEFORE CLASS ON THIS DATE)
IN-CLASS ACTIVITY
Jan-12
Lab #1
Jan-13
1.1: Qualitative/Quant. Data, Levels of Measurement
LV 1.2: Frequency Distribution, FD Graphs, Histogram
Jan-15
LV 1.4: Normal Curve, Deviations from Norm
HW 1a: Qual/Quant, Freq Distr, Graphs, Levels of Meas.
Jan-19
1. Stats Basics
1.3 Experimental Design
MLK
Jan-20
HW 1b: Normal Crv, Exp Design, Trt Effect & Smpl Error
LV 1.5: Math Review
LV 2.1: Measures of Central Tendency, Samples & Pop’s
2. Descriptive Stats - Measures of Central Tendency
Jan-22
LV 2.2: Measures of Variability
HW 2a: Central Tend, Samples & Populations
Measures of Variability
Jan-26
HW 2b: Variability
LV 3.1: Correlations, linear relationships
Lab #2 (Descriptive Statistics)
Jan-27
LV 3.2: Correlations, correlation coefficient “r”
LV 3.3a: Correlations and SPSS
LV 3.3b: Correlation & Hypothesis Testing
3. Correlation & Regression
Quiz
Jan-29
LV 3.4: Regression I, basics
LV 3.5: Regression II, error, r2, Sy’
HW 3: Correlation portion only (p.1)
Feb-2
HW#3: Regression portion (p. 2 & 3)
Lab #3 (Correlation & Regression)
Feb-3
HW 3d, Q1-14: Correlation & Regression Practice
Review
Feb-5
HW 4: Conceptual Review
HW 3c: Computational Review (need SPSS)
Study Guide for Test 1: do MC and Fill in questions
Review
Feb-9
HW 3b (more comp. review) (need SPSS)
Lab 3b (more regression review) (need SPSS)
Feb-10
>>>>>>>>>>>>>>>>>>> TEST #1 <<<<<<<<<<<<<<<<<<
4. Z-scores
Feb-12
LV 4.2: Z-scores, hypothesis test, sampling distributions
HW 4b: video quest. & HW 5a, Part I: z-scores for scores
Feb-16
HW 5b, Part II: z-scores for sample means
Lab #4 (z-scores)
Feb-17
LV 5.1: One-sample t-tests & hypothesis testing
HW 6: Questions about video (excluding 23-29)
5. T-scores & hypothesis testing
HW#6, 23-29 (with write-up)
Feb-19
HW 7: Hypothesis testing with t-scores (Q 1-3)
Feb-23
HW 7: (Q 4-5) & HW 7b: One-sample t-test
Lab #5 (t-tests)
Feb-24
LV 6.1: 2-sample, Independent t-tests
HW 7c: Questions about video
6. Independent & Dependent t-tests
HW# 7d
Feb-26
LV 6.3: 2-sample, Dependent t-tests
Mar-2
Quiz: Fluency, Test 2 Review
Lab #6 (Ind/Dep t)
Mar-3
Quiz: Fluency, Test 2 Review
Review
Mar-5
HW 11B: Computational Review
Quiz: SPSS Output Interpretation
(by Friday): Quiz: Powerful Practice
Review
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HW# 7e
5
Mar-9
HW 11D: Practice Exam, Test #2
Mar-10
>>>>>>>>>>>>>>>>>>> TEST #2 <<<<<<<<<<<<<<<<<<
7. 1-Way ANOVA
Mar-12
Quiz: 1-way ANOVA (Practice & Graded)
Mar-16-19
Spring Break
Spring Break
Mar-23
HW 12: Write-up three ANOVA paragraphs (pg. 1)
HW 12B: ANOVA interpretation
Lab #7 & 8 (1-way ANOVA)
Mar-24
HW 12: Power exercises (pg. 2)
HW 13: Stats for Breakfast
Mar-26
LV 8.1 2-way ANOVA
Quiz: Two-way ANOVA (Practice & Graded)
8. 2-way ANOVA
Mar-30
HW 14a: 2-way ANOVA
LV 8.3: Data-entry for 2-way ANOVA
HW 14c: Data entry & HW 14b: ANOVA Write-ups, #1
Lab #9 (2-way ANOVA)
Mar-31
HW 14b: ANOVA Write-ups, #2 & #3
Quiz (optional): Two-way ANOVA review
Apr-2
HW 15: 1-4: Paragraphs & Name that Stat (need SPSS)
Apr-6
HW #15, 5-7: Paragraphs
Lab #10 (Comp Rev 1)
Apr-7
LV 9.1 Chi-squared, goodness of fit
LV 9.2 Chi-squared, test of independence
9. Chi-squared
Apr-9
HW 16 & 17: Name that Stat
HW 18B: Chi Squared
Apr-13
HW 18: Name that Stat
Lab #11 (Comp Rev 2)
Apr-14
HW 19: Conceptual Review
Journal Article Reading
Apr-16
HW 20: Journal Reading
Apr-20
Lab #12: Bogus Winthrop, Computational Review
Lab #12 (Computational Review)
Apr-21
HW 19B: Conceptual Review & WU evaluations (#1)
Conceptual Review
Apr-23
My course evaluations (#2)
Conceptual Review
Apr-27
May 1
>>>>>>>>>> FINAL PART #1: COMPUTATIONAL <<<<<<<<
11:30 AM FRIDAY
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>>>>>>>>>> FINAL PART #2: CONCEPTUAL
<<<<<<<<
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