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SPHS500 - Statistics for Sports and Health Sciences

Course Details

Course Code: SPHS500 Course ID: 4232 Credit Hours: 3 Level: Graduate

This course will introduce the student to graphical presentation of data, histograms and confidence intervals for binomial probabilities. One-sample and two-sample t-test as well as regression and correlation with two variables will also be discussed. The student will learn the concept of hypothesis testing and confidence intervals, multivariate regression and correlation, partial correlation coefficients, analysis of variance and covariance, and multiple comparison procedures. The analysis of research data will be emphasized in this course to provide the student with real world examples in the field of Sports and Health Sciences.





Course Schedule

Registration Dates Course Dates Session Weeks
02/24/20 - 07/31/20 08/03/20 - 09/27/20 Summer 2020 Session I 8 Week session
03/30/20 - 09/04/20 09/07/20 - 11/01/20 Summer 2020 Session D 8 Week session
04/27/20 - 10/02/20 10/05/20 - 11/29/20 Fall 2020 Session B 8 Week session
05/25/20 - 10/30/20 11/02/20 - 12/27/20 Fall 2020 Session I 8 Week session
06/29/20 - 12/04/20 12/07/20 - 01/31/21 Fall 2020 Session D 8 Week session

Current Syllabi

After successfully completing this course, you will be able to:

  1. Compare and contrast descriptive and inferential statistics in a professional setting.
  2. Create a data set using independent and dependent variables while performing a statistical analysis.
  3. Analyze basic statistical concepts while providing detailed
  4. Design the correct statistical analysis for any given situation.
  5. Design the appropriate statistical analysis with statistical software (SPSS).
  6. Develop appropriate selections of statistical models with various types of data.
NameGrade %
Forums 30.00 %
Week 1 Forum 6.00 %
Week 2 Forum 6.00 %
Week 3 Forum 6.00 %
Week 5 Forum 6.00 %
Week 7 Forum 6.00 %
Data Analysis Assignments 30.00 %
T-tests worksheet 10.00 %
Data Analysis Assignment: Presenting Descriptive Statistics 10.00 %
Branching Scenario (Week 7 Assignment) 10.00 %
Quizzes 20.00 %
Quiz 1 10.00 %
Quiz 2 10.00 %
Final Project 20.00 %
Final Project 20.00 %
Unassigned 0.00 %
T-test Worksheet 0.00 %

Required Readings:

All course content is delivered via narrated PowerPoint lectures in this course. Optional readings are located in each week’s Lesson tab.

Additional Resources:

In the Lessons area for each week there are additional course resources, grading rubrics, and up to date APA handouts.

Websites and Open Education Resources

In addition to the required readings the following public domain Websites are useful. Please abide by the university’s academic honesty policy when using Internet sources as well. Note web site addresses are subject to change.

Site Name

Website URL/Address

Statistics Help

http://www.statistics-help-online.com/

Purdue Owl APA format

http://owl.english.purdue.edu/owl/resource/560/01/

Khan Academy: Statistics

https://www.khanacademy.org/math/statistics-probability

Libre Texts (Open Education Resource)

Introductory Statistics by David Lane and Contributors

https://stats.libretexts.org/Textbook_Maps/Map%3A_Introductory_Statistics_(Lane)

Introductory Statistics by Shafer and Zhang

https://stats.libretexts.org/Textbook_Maps/Map%3A_Introductory_Statistics_(Shafer_and_Zhang)

Book Title:Introductory Statistics (online text is available for free online at- https://stats.libretexts.org/Textbook_Maps/Map%3A_Introductory_Statistics_(Lane)
ISBN:NOTE
Publication Info:Libretexts
Author:David Lane
Book Title:Various resources from the APUS Library & the Open Web are used. Please visit http://apus.libguides.com/er.php to locate the course eReserve.*
ISBN:ERESERVE NOTE

Previous Syllabi

Not current for future courses.