This course requires the use of the statistical package IBM SPSS Statistics Standard GradPack 28 (or higher). Students must lease or purchase this proprietary software independently from a reliable source.
Mathematics 315: Methods in Applied Statistics will enable you to develop familiarity with various research-oriented, data-driven experimental designs using both parametric and nonparametric tests. In addition, you will acquire the knowledge and skills needed to apply statistical theoretical concepts to solve practical problems across a variety of academic disciplines. You will learn the logic, procedures, and use of common statistical techniques using one of the most commonly used statistical packages: IBM SPSS Statistics.
Outline
MATH 315 consists of the seven units listed below:
Unit 1: Introduction to Research Design Concepts
Unit 2: Nonparametric Tests
Unit 3: Analysis of Variance and Multiple Comparisons
Unit 4: Simple Linear Regression and Correlation
Unit 5: Multiple Linear Regression and the General Linear Model
Unit 6: More on One-way Analysis of Variance (Completely Randomized Designs)
Unit 7: Analysis of Variance for Blocked Designs
Objectives
After completing this course successfully, you should be able to
explain basic statistical principles.
describe and make use of the components of statistical experimental design.
apply, analyze, and evaluate a wide range of statistical tests, including correlation, regression and multiple regression, single-factor and two-factor analysis of variance, and logistic regression.
analyze a wide range of data sets selected from the biological, physical, and social sciences; engineering; and the financial sector.
Evaluation
To receive credit for MATH 315, you must achieve a mark of at least 50% on both the midterm and final assessments and your composite course grade must be at least a D (50%). The composite grade is broken down as follows:
Activity
Weight
Assignments 1–6 (5% each)
30%
Midterm (take-home)
30%
Final (take-home)
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. (2020). Cengage. (eText)
Methods in applied statistics: Custom solutions manual for Math 315, Athabasca University. (2020). Cengage. (eText)
The course materials also include an online study guide, a custom SPSS instructional manual, and supplementary resources such as instructional videos and review sessions.
Special Course Requirements
You will need to purchase or lease a licence for IBM SPSS Statistics Standard GradPack 28 (or higher) to complete this course. This software package includes Statistics Base, Advanced Statistics, and Regression. Sources for the software include, but are not limited to, AU's web store, OnTheHub, and Student Discounts.com.
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.