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.
|Registration Dates||Course Dates||Session||Weeks|
|01/25/21 - 07/02/21||07/05/21 - 08/29/21||Summer 2021 Session B||8 Week session|
|02/22/21 - 07/30/21||08/02/21 - 09/26/21||Summer 2021 Session I||8 Week session|
|03/29/21 - 09/03/21||09/06/21 - 10/31/21||Summer 2021 Session D||8 Week session|
|04/26/21 - 10/01/21||10/04/21 - 11/28/21||Fall 2021 Session B||8 Week session|
|05/21/21 - 10/29/21||11/01/21 - 12/26/21||Fall 2021 Session I||8 Week session|
After successfully completing this course, you will be able to:
- Compare and contrast descriptive and inferential statistics in a professional setting.
- Create a data set using independent and dependent variables while performing a statistical analysis.
- Analyze basic statistical concepts while providing detailed
- Design the correct statistical analysis for any given situation.
- Design the appropriate statistical analysis with statistical software (SPSS).
- Develop appropriate selections of statistical models with various types of data.
|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-test Worksheet||10.00 %|
|Data Analysis Assignment: Presenting Descriptive Statistics||10.00 %|
|Branching Scenario (Week 7 Assignment)||10.00 %|
|Quiz 1||10.00 %|
|Quiz 2||10.00 %|
|Final Project||20.00 %|
|Final Project||20.00 %|
All course content is delivered via narrated PowerPoint lectures in this course. Optional readings are located in each week’s Lesson tab.
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.
Purdue Owl APA format
Khan Academy: Statistics
Libre Texts (Open Education Resource)
Introductory Statistics by David Lane and Contributors
Introductory Statistics by 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)|
|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.*|
Not current for future courses.