| Instructor: |
Greg C Elvers, Ph.D. |
| Office: |
SJ 312 |
| Phone: |
937-229-2171 (Office)
937-433-0390 (Home; please do not call between 8 PM and 8 AM.) |
| Email: |
greg.elvers@notes.udayton.edu |
| URL: |
http://academic.udayton.edu/GregElvers/psy216/ |
| Office Hours: |
MWF: Noon – 12:50 PM or by appointment |
| Teaching Assistant: |
Sara Loomer, SJ 313,
loomers40@hotmail.com |
| Text: |
Runyon, R. P., Coleman, K. A. & Pittenger, D. J. (2000). Fundamentals of behavioral statistics (9th Ed.).
New York: McGraw-Hill Companies, Inc. |
| Point Structure of Class |
4 100 Point Exams
12 10 Point Quizzes
12 10 Point Homeworks |
| Grading Scale: |
| A: | 597 to 640 Points |
| A-: | 576 to 596 Points |
| B+: | 555 to 575 Points |
| B: | 533 to 554 Points |
| B-: | 512 to 532 Points |
| C+: | 491 to 511 Points |
| C: | 469 to 490 Points |
| C-: | 448 to 468 Points |
| D: | 384 to 447 Points |
| F: | 0 to 383 Points |
|
| Exams: |
Because of the nature of statistics, all exams are comprehensive. Each exam will
emphasize material covered since the previous exam. The exam format is 50% multiple
choice (choose one correct answer) and 50% essay / problems.
I do not normally give make-up exams. If you cannot take an exam on the assigned
date and time, you must inform me before the exam. Failure to take an exam
without prior permission will result in a grade of 0 for that exam. I rarely grant
exceptions to this rule. All make-up exams will be given during the regularly scheduled
final exam period; that is, you will have to take the make-up exam and the final exam
in the 110 minutes allotted for the final exam. |
| Mentor: |
You can use Mentor, an online quiz, to test your knowledge of statistics. It is
available at http://academic.udayton.edu/GregElvers/psy216/mentor.asp. |
| Homework: |
You must submit all homework electronically. I will not accept paper copies of your homework. |
| Extra Credit: |
The class does not offer extra credit work. |
| Attendance Policy: |
Class attendance is required if:
- you have a GPA below 2.5, or
- you earn a grade of 'C' or below on any exam
Otherwise, class attendance is strongly recommended but not required. The exams
will include material presented in class which is not in the text and material not
presented in class but which is in the text. If you are required to attend class
and do not, you will lose 5 points for each unexcused absence. |
| Late Papers and Assignments: |
All papers and assignments are due at the beginning of class on the assigned due date. |
| Honesty Policy: |
It is not only acceptable, but encouraged that you help each other out with the
homework. You are, however, responsible for understanding and learning the material.
Simply copying the work of others does not allow you to understand the material, and
you will suffer on the tests and quizzes.
All instances of academic dishonesty, including those defined in the current edition
of the University of Dayton Student Handbook, will be handled in accordance with
University policy. |
| Expectations: |
You are expected to:
- Read the appropriate chapter of the text prior to the class in which
the material will be presented.
- Have an email account that you check at least every other day. All class email
will be sent to the email address that you list at
http://address.udayton.edu. Please check that your current email address is listed
there, and if you are not using your Lotus Notes / UD account that you forward your
Notes mail to the account that you are using. You are responsible for keeping
your mailbox sufficiently empty so that you can receive class emails.
|
| Goals: |
- Learn the meaning of fundamental statistical terms and concepts
- Learn how to interpret fundamental statistical terms and concepts
- Learn when to apply appropriate statistical procedures
- Learn how to use the computer to analyze data
|
| Syllabus: |
The syllabus is only an approximate outline to when material will be presented in
class. Topics may be added or deleted as time permits. |
| Day |
Date |
Chapter |
Topic |
Lec.
Notes |
Assignment |
Quiz |
| Wed |
1/4 |
Chap 1 |
Statistics: The Arithmetic of Uncertainty |
 |
Assignment 0. Due
1/6 |
|
| Fri |
1/6 |
Chap 2 |
Basic Concepts |
|
Assignment 1.
Due
1/11 |
|
| |
| Mon |
1/9 |
Chap 3 |
Exploratory Data Analysis, Frequency Distributions, and Percentiles |
|
|
Quiz 1 |
| Wed |
1/11 |
Chap 4 |
Measures of Central Tendency |
|
Assignment 2.
Due
1/18 |
|
| Fri |
1/13 |
Chap 5 |
Measures of Dispersion |
|
|
Quiz 2 |
| |
| Mon |
1/16 |
|
No Class – Martin Luther King, Jr. Day |
|
|
|
| Wed |
1/18 |
Chap 5 |
Measures of Dispersion |
|
|
|
| Fri |
1/20 |
Lab |
Using SPSS for Measures of Central Tendency and Dispersion |
|
|
Quiz 3 |
| |
| Mon |
1/23 |
EXAM |
Exam 1 covers chapters 1 – 5, and material presented on 1/4 through
1/20 inclusive.
Exam 1 Review Sheet |
Answers
|
|
|
| Wed |
1/25 |
Chap 8 |
Correlation
Last day to withdraw without a record |
|
Assignment 3.
Due
1/30 |
|
| Fri |
1/27 |
Chap 8 |
Correlation
Correlation and Regression Demonstration
Restricted Range
Demonstration |
|
|
|
| |
| Mon |
1/30 |
Chap 6 |
z-Scores and Correlation
z Scores and Correlation Demonstration |
|
|
|
| Wed |
2/1 |
Lab |
Using SPSS for Correlation |
|
Assignment 4.
Due
2/8 |
Quiz 4 |
| Fri |
2/3 |
Chap 9 |
Regression and Prediction |
|
|
|
| |
| Mon |
2/6 |
Chap 9 |
Regression and Prediction
Correlation and Regression Demonstration
Regression calculations in excel and
pdf format. |
|
|
|
| Wed |
2/8 |
Lab |
Using SPSS for Regression and Prediction |
|
Assignment 5.
Due
2/17 |
Quiz 5 |
| Fri |
2/10 |
Chap 10 |
Probability: The Foundation of Inferential Statistics |
|
|
|
| |
| Mon |
2/13 |
Chap 10 |
Probability: The Foundation of Inferential Statistics |
|
Assignment 6.
Due
2/17 |
|
| Wed |
2/15 |
Chap 10 |
Probability: The Foundation of Inferential Statistics
Sample probability problem
Answers to Chapter 10 Exercises |
|
|
Quiz 6 |
| Fri |
2/17 |
|
Catch up & review |
|
|
|
| |
| Mon |
2/20 |
EXAM |
Exam 2 covers chapters 6, 8, 9, and 10 and material presented on
1/25 through 2/17 inclusive
Exam 2 Review Sheet
Material and Equations for Exam 2 |
Answers |
|
|
| Wed |
2/22 |
Chap 11 |
Introduction to Statistical Inference |
|
|
|
| Fri |
2/24 |
Chap 11 |
Introduction to Statistical Inference |
|
|
|
| |
| Mon |
2/27 |
Chap 11 |
Introduction to Statistical Inference |
|
Assignment 7.
Due
3/6 |
|
| Wed |
3/1 |
Chap 12 |
Statistical Inference: Single Samples |
|
|
Quiz 7 |
| Fri |
3/3 |
Chap 12 |
Statistical Inference: Single Samples |
|
|
|
| |
| Mon |
3/6 |
Chap 12 |
Statistical Inference: Single Samples |
|
Assignment 8.
Due
3/10 |
|
| Wed |
3/8 |
Chap 13 |
Statistical Inference: Two-Sample Case |
|
|
Quiz 8 |
| Fri |
3/10 |
Chap 13 |
Statistical Inference: Two-Sample
Case |
|
|
|
| |
| Mon |
3/13 |
|
No Class -- Mid-Term Break |
|
|
|
| Wed |
3/15 |
|
No Class -- Mid-Term Break |
|
|
|
| Fri |
3/17 |
|
No Class -- Mid-Term Break |
|
|
|
| |
| Mon |
3/20 |
Chap 13 |
Statistical Inference: Two-Sample
Case |
|
|
|
| Wed |
3/22 |
Lab |
Using SPSS for t Tests
Last day to withdraw with a record of W |
|
Assignment 9.
Due
3/24 |
Quiz 9 |
| Fri |
3/24 |
|
Catch up & review |
|
|
|
| |
| Mon |
3/27 |
EXAM |
Exam 3 covers chapters 11, 12, and 13, and material presented on
2/22 through 3/24 inclusive.
Exam 3 Review Sheet |
Answers |
|
|
| Wed |
3/29 |
Chap 14 |
An Introduction to the Analysis of Variance |
|
|
|
| Fri |
3/31 |
Chap 14 |
An Introduction to the Analysis of Variance |
|
|
|
| |
| Mon |
4/3 |
Chap 14 |
An Introduction to the Analysis of Variance |
|
|
Quiz 10 |
| Wed |
4/5 |
|
No Class -- Attend the Stander Symposium |
|
|
|
| Fri |
4/7 |
Lab |
Using SPSS for ANOVA |
|
Assignment 10.
Due 4/12 |
|
| |
| Mon |
4/10 |
Chap 15 |
The Two Factor Analysis of Variance |
|
|
|
| Wed |
4/12 |
Chap 15 |
The Two Factor Analysis of Variance |
|
|
|
| Fri |
4/14 |
|
No Class -- Easter Recess |
|
|
|
| |
| Mon |
4/17 |
|
No Class -- Easter Recess |
|
|
|
| Wed |
4/19 |
Chap 15 |
The Two Factor Analysis of Variance |
|
|
Quiz 11 |
| Fri |
4/21 |
Lab |
Using SPSS for Two Factor ANOVA
SPSS Data Set |
|
Assignment 11.
Due 4/26 |
|
| |
| Mon |
4/24 |
Chap 17 |
Statistical Inference with Nominal Data |
|
|
|
| Wed |
4/26 |
Lab |
Using SPSS for Nominal Data Inferences |
|
Assignment 12.
Due before you take the final. |
Quiz 12 |
| Fri |
4/28 |
|
No Class -- Study Day |
|
|
|
| |
| Wed |
5/3 |
EXAM
|
Exam 4 covers chapters 14, 15, and 17, and material presented on
3/29 through 4/26, inclusive.
2:30 to 4:20 PM
Exam 4 Review Sheet |
Answers |
|
|
