Overview
Mathematics 315: Methods in Applied Statistics will familiarize you with various research-oriented, data-driven experimental designs using both parametric and nonparametric tests. In addition, you will gain 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 seven units:
- 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
Learning outcomes
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 course composite grade of at least D (50 percent), including a grade of at least 50 percent on both the midterm and the final assessment.
The weighting of the composite grade is as follows:
| Activity | Weight |
| Assignments 1–6 (5% each) | 30% |
| Midterm assessment | 30% |
| Final assessment | 40% |
| Total | 100% |
Materials
Digital course materials
Links to the following course materials will be made available in the course:
Methods in applied statistics: Custom text for Math 315, Athabasca University. (2020). Cengage.
Methods in applied statistics: Custom solutions manual for Math 315, Athabasca University. (2020). Cengage.
Software
As part of your course registration, you will receive a licence for IBM SPSS Statistics Standard GradPack (includes Statistics Base, Advanced Statistics, and Regression) to use while you are a student in this course.