Course Description

Course Name

Statistical Methods

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Descriptive statistics, probability distributions, estimation, hypothesis testing, regression, analysis of count data, analysis of variance and experimental design. Sampling and design principles of techniques to build on in the implementation of research studies.

This is a paper in statistical methods for students from any of the sciences, including students studying biological sciences, social sciences or sport science, as well as those studying mathematics and statistics. The paper provides an introduction to the use of statistical methods for the description and analysis of data, use of computer software to carry out data analysis, and the interpretation of the results of statistical analyses for a range of research studies.

Course Structure
The course covers:
-Data
-An introduction to probability
-Binomial and normal distributions
-Estimation
-Hypothesis testing
-Analysis of variance
-Contingency tables for categorical data
-Simple linear regression
-Introduction to multiple regression

Learning Outcomes
An understanding of methods used in the collection and analysis of data, and how the results of data analyses are best communicated.

*Course content subject to change