This course requires the use of the statistical package IBM® SPSS® Statistics Standard GradPack 22 (or higher). Students must lease this proprietary software independently from a reliable source.
Overview
Mathematics 315: Methods in Applied Statistics is designed to enable students to develop familiarity with various parametric and nonparametric tests and to gain the knowledge and skills needed to apply statistical concepts to solve applied problems. Students will learn the logic, the procedures and the use of common statistical techniques using one of the most commonly used statistical packages - SPSS for Windows.
Outline
Mathematics 315 consists of the seven units listed below:
Unit 1: Introduction to Research Design Concepts
Unit 2: Nonparametric Tests
Unit 3: Analysis of Variance (AOV) and Multiple Comparison Procedures
Unit 4: Simple Linear Regression and Correlation
Unit 5: Multiple Linear Regression and the General Linear Model
Unit 6: More on One-way AOV (Completely Randomized Designs)
Unit 7: Analysis of Variance for Blocked Designs
Objectives
After completing this course, a student will have
an in-depth knowledge of basic statistical principles;
a basic understanding of experimental design;
facility with a wide range of statistical tests, including correlation, simple and multiple linear regression models, single and two factor analysis of variance and logistic regression; and
proficiency in the analysis of a wide range of data sets selected from the biological, physical and social sciences, and from business applications.
Evaluation
To receive credit for MATH 315, you must achieve a mark of at least 50 per cent on each of the following: the midterm examination, the final examination and achieve a composite course grade of D (50 percent). The weighting of the composite grade is as follows:
Activity
Weight
TME 1
5%
TME 2
5%
TME 3
5%
Midterm Exam
30%
TME 4
5%
TME 5
5%
TME 6
5%
Final Exam
40%
Total
100%
To learn more about assignments and examinations, please refer to Athabasca University's online Calendar.
Materials
Methods in applied statistics: Custom text for Math 315, Athabasca University (2012). Toronto: Nelson Education. (Print)
Methods in applied statistics: Custom solutions manual for Math 315, Athabasca University (2012). Toronto: Nelson Education. (Print)
Other Materials
The course materials also include an online study guide, course manual and SPSS instructional manual.
Special Course Features
You will need to purchase or lease a license for IBM® SPSS® Statistics Standard GradPack 22 (or higher) to complete this course. The IBM® SPSS® Statistics Standard GradPack (omit 22) includes: Statistics Base, Advanced Statistics, and Regression. Sources for this software include, but are not limited to the AU Bookstore , OnTheHub eStore , Student Discounts.com , and amazon.com.
Be aware that any non-programmable, non-graphing calculators may be taken into the exam rooms.
However, students are NOT allowed to bring a programmable or graphing calculator (with or without installed statistical applications), a cell phone, a digital camera, a PDA, an iPod or any similar electronic device into the examination rooms. Computers of any sort are permitted except under specially approved circumstances (i.e., for some students with disabilities). Students are also NOT allowed to consult with any person when writing the examinations for this course.
Athabasca University reserves the right to amend course outlines occasionally and without notice. Courses offered by other delivery methods may vary from their individualized-study counterparts.
Opened in Revision 1, July 30, 2013
Updated July 28, 2021, by Student & Academic Services