Psychology 233

Statistics for Psychology   Spring 2007

Department of Psychology

Fayetteville State University

Introduction

I have compiled a number of resources for the course.  The most important of these is the homework packet (see problems/solutions link to the left), which you should print and use to practice the problems.  The sample exams it contains will be very similar to the exams you will be taking.  Answers to all problems are located at the end of the file.   You must practice the problems in order to do well on the exams!

In addition, lecture notes can also be accessed with the link on the left of the page.  Study the lessons closely so you can work the practice problems and exams in the homework packet.  The book follows closely both the lecture notes and the problems in the homework packet.  Use the book to give you additional information about how to work the problems in the homework packet.  Each section of the homework packet gives information about what will be contained on each exam, and where any discrepancies exist between the lecture notes and information in the text.

Your grade will be based on your performance on five timed exams, and several lab assignments. Thus, there is no grade for homework.  Please look at the course schedule for exam dates and times.  

Instructor

David S. Wallace Ph. D.

Web:    http://faculty.uncfsu.edu/dwallace

email:  dwallace@uncfsu.edu

Phone: 672-1419

Department:  Phone: 672-1413 Fax: 672-1043

Course Resources

Required Text:  Grevetter, F & Wallnau, L. (1999). Essentials of Statistics (5th ed.): Brooks/Cole.

 Homework Packet:  http://faculty.uncfsu.edu/dwallace/packet.html for printable version

Course Description

This course is a standard introductory course for the behavioral sciences. Basic statistical theory and techniques appropriate to psychology and related fields; introduction to statistical inference and the testing of hypotheses. Prereq: PSYC 210 and MATH 123

Course Objectives

1. Be able to explain the role of statistical analysis and research.

2. Be able to compute and interpret descriptive statistics

3. Be able to compute and interpret correlation and regression analyses.

4. Be able to develop and test statistical hypotheses.

5. Be able to test and interpret statistical hypotheses when population parameters are known.

6. Be able to test and interpret statistical hypotheses when population parameters are unknown.

7. Be able to compute and interpret the Analysis of Variance.

8. Be able to compute and interpret Chi-Square

9. Be able to input data using SPSS.

10.  Be able to compute each statistical tests using SPSS.

Evaluation

Exams:  There will be four two-hour non-comprehensive exams worth 50 points each, and a two-hour final comprehensive exam worth 65 points.  See the course schedule for exam days/times.

Lab: There will be 5 labs due on assigned days as printed in the course schedule.  Labs will consist of running the statistical tests we learn to compute by hand on the computer using SPSS.

 Final grades will be determined according to the following schedule:

A = 270- 300 points

B = 240-269 points

C = 210-239 points

D = 180-209 points

Academic Dishonesty Policy and Procedures

Academic dishonesty is the giving, taking, or presenting of information or material by a student with the intent of unethically or fraudulently aiding oneself or another on any work which is to be considered in the determination of a grade or the completion of academic requirements.  Please refer to the student handbook for details.