# EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

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1 EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016 Instructor: Dr. Katy Denson, Ph.D. Office Hours: Because I live in Albuquerque, New Mexico, I won t have office hours. But I will be very available to speak with you over the phone. Address: Materials Textbook: COURSE INFORMATION Discovering Statistics Using IBM SPSS Statistics (4 th edition) by Andy Field, Sage Publications, ISBN # Course Description: This course is intended to provide graduate students with an introduction to statistics and is approved by the Graduate School as a Level II research tool. The emphasis in this course will be upon understanding statistical concepts and applying and interpreting tests of statistical inference. Content will include but not be limited to: data and data files, data screening, scaling, visual representations of data, descriptive statistics, correlation and simple regression, sampling distributions, and the assumptions associated with and the application of selected inferential statistical procedures (including t-tests, chi-square, and one-way ANOVA). Computer software (SPSS) will be employed to assist in the analysis of data for this course. Students should have access to a computer, SPSS software, and the Internet. This access is available at the Metroplex Center and on the Commerce campus in certain computer labs. Student Learning Outcomes: How interesting and fun statistics can be How and why statistics has developed as a tool of the scientific process How data are collected and how observations are quantified during the scientific and research process How observations are represented and stored in a data file The uses and limitations of statistical software The scaling and coding of data Frequency distributions; how data can be represented visually, and the strengths and weaknesses of these representations Methods of appropriately describing the central tendencies of various distributions Variability and how to quantify variability The reasoning and assumptions underlying the inferential statistical process Probability, as it refers to inferential statistics Correlation and simple linear regression The appropriate application and interpretation of various inferential statistical procedures, including the t-test, the Chi-square test, inferential tests applied to correlation, and basic ANOVA How to write a simple description of methodology and results from analyses

3 COMMUNICATION AND SUPPORT Please feel free to contact me any time you have questions. I make a rule for myself, and I would like for you to follow it also, that if I spend an hour on something, and really give it my all, but I still can t get it, it s time to ask for help. Don t be afraid to ask for help! Don t just sit there getting frustrated! COURSE AND UNIVERSITY PROCEDURES/POLICIES University Specific Procedures: ADA Statement The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you have a disability requiring an accommodation, please contact: Student Conduct Office of Student Disability Resources and Services Texas A&M University-Commerce Gee Library 132 Phone (903) or (903) Fax (903) Student Disability Resources & Services All students enrolled at the University shall follow the tenets of common decency and acceptable behavior conducive to a positive learning environment. (See Code of Student Conduct from Student Guide Handbook). A&M-Commerce will comply in the classroom, and in online courses, with all federal and state laws prohibiting discrimination and related retaliation on the basis of race, color, religion, sex, national origin, disability, age, genetic information or veteran status. Further, an environment free from discrimination on the basis of sexual orientation, gender identity, or gender expression will be maintained.

4 COURSE OUTLINE / CALENDAR Week Session Topics Readings Self-Assessment and Homework Due 1 January 19 Introduction to SPSS Field, Chapter 3 January 24 2 January 25 Chapter 1 Field, Chapter 1 January 31 3 February 1 Finish Chapter 1 Field, Chapters 1 and February 7 Chapter February 8 Chapter 2 Field, Chapters 1, 2 February 14 and 3 5 February 15 Chapter 2 Field, Chapter 2 February 21 6 February 28 Chapter 2 Presenting Data Field, Chapter 2 March 6 7 March 7 Mid-term Exam The mid-term exam will be open Friday, March 11, through Sunday, March 13 8 March 14 Spring Break March 21 Correlation Field, Chapter 6 March 27 9 March 28 Regression Field, Chapter 7 April 3 10 April 4 t-tests for Independent and Dependent Means Field, Chapter 9 April April 11 ANOVA Field, Chapter 10 April April 18 Post Hoc Tests Field, Chapter 10 April April 25 Chi-square Field, Chapter 18 May 1 15 May 2 Review for final exam 16 May 9 Final Exam The final exam will be open Monday, May 9, through Wednesday, May 11

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