Course Detail

PH 511/SRA 511/ES 511, Applied Statistics

PH 511/SRA 511/ES 511 IS Sec 3, University of Mississippi
[See UM Catalog for Description]

3 credit hours

Instructor Information:

Instructor name:
Minsoo Kang, Professor and Chair of Health, Exercise Science, and Recreation Management, The University of Mississippi

• BA Physical Education Seoul National University
• MA Physical Education Seoul National University
• PHD Kinesiology University of Illinois

Contact Information:

If you have questions concerning the content of the course, you may contact the instructor directly using the Email Your Instructor link in the Lessons or Content page. NOTE: Whenever sending email, please be sure to indicate your course title and number in the subject line. You can expect a response within 72 hours, although it may be longer on weekends. Many instructors reply within 24 hours.

For lesson or test administration issues, please contact the iStudy department:

Course Description

The focus of this course is to provide students with an understanding of descriptive statistics (e.g., mean, standard deviation, frequency distribution) and inferential statistics (e.g., chi square, t-tests, analysis of variance [ANOVA], correlation, regression, factorial ANOVA & multivariate ANOVA, repeated measures ANOVA) and know how to use SPSS and to analyze, interpret, and present statistical results.
Methods of Presentation: Lectures, reading assignments, PowerPoints, written student response questions, and journals.

Textbook Information:

Textbook information will be provided upon enrollment in your iStudy course.

Course Objectives:

Upon completion of this course, you will be able to identify, define, describe, or discuss fundamental and current issues related to the following:

• Understand how data, statistical programs, and results are organized by SPSS
• Understand how to use categorical and continuous data
• Understand the coding of indexes and the recoding of data fields into useful variables
• Understand key statistical concepts
• Determine appropriate statistical methods for given research questions and data
• Perform several different statistical tests
• Report results from data analysis using the correct terminology
• Interpret research results with reference to the research questions and hypotheses

Course Outline:

This course consists of seven instructional modules (or lessons).

LESSON

Reading Assignments

Due for Grades

Syllabus

*You MUST complete the syllabus quiz as soon as you have access to your Blackboard course. This is mandatory to verify your attendance.* NOTE: you must pass the Syllabus and Orientation Quiz for the course materials to appear on the Lessons page.

Syllabus Quiz

0

Introduction

Discussion board

1

Module 1. Introduction to Statistics

PowerPoint module and data file

2

Module 2. SPSS 101: Data Entry, Descriptive Statistics, Graph

PowerPoint module and data file

Course Exam 1

Covers modules 1-2

To be scheduled
and completed
before proceeding

3

Module 3. Correlation, Bivariate and Multiple Regression

PowerPoint module and data file

4

Module 4. Chi Square Tests & Logistic Regression

PowerPoint module and data file z

Course Exam 2

Covers modules 3-4

To be scheduled
and completed
before proceeding

MIDPOINT OF COURSE

If you are a semester student, you must reach the midpoint of your course by the date specified in your orientation information.
If you are a Flex UM student, you CANNOT WITHDRAW from this course after the lesson has been submitted.

All lesson assignments or exams needed to reach the midpoint of the course.
The exact date semester students are required to reach the midpoint is specified in your orientation information.

5

Module 5. T-test & Analysis of Variance (ANOVA)

PowerPoint module and data file

6

Module 6. Factorial ANOVA & Multivariate ANOVA (MANOVA)

PowerPoint module and data file

Course Exam 3

Covers modules 5-6

To be scheduled
and completed before proceeding

7

Module 7. Repeated Measures ANOVA

PowerPoint module and data file

Final Exam

Cumulative exam from all modules (ensure all work is completed and graded prior to scheduling this exam).

To be scheduled
and completed
to finalize credit

Grading:

GRADING SCALE:
90 - 100% = A
80 - 89% = B
70 - 79% = C
60 - 69% = D
Below 59% = F

FAILURE TO TAKE THE FINAL EXAM WILL RESULT IN FAILURE OF THE COURSE.

You must submit the lessons required to take the course exam(s). Lessons required but not submitted will receive a grade of zero. For the final exam, all coursework must be submitted and graded.