Psychology 216-02:
Elementary Statistics


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:
  1. Learn the meaning of fundamental statistical terms and concepts
  2. Learn how to interpret fundamental statistical terms and concepts
  3. Learn when to apply appropriate statistical procedures
  4. 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.

Syllabus

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

   

Software



Acrobat Reader (for lecture notes)