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Course Details

 

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 Start Month Session Weeks
03/29/2022 - 09/02/2022 09/05/2022 - 10/30/2022 September Summer 2022 Session D 8 Week session
04/26/2022 - 09/30/2022 10/03/2022 - 11/27/2022 October Fall 2022 Session B 8 Week session
05/21/2022 - 11/04/2022 11/07/2022 - 01/01/2023 November Fall 2022 Session I 8 Week session
06/28/2022 - 12/02/2022 12/05/2022 - 01/29/2023 December Fall 2022 Session D 8 Week session
07/25/2022 - 12/30/2022 01/02/2023 - 02/26/2023 January Winter 2023 Session B 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.

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.
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.