Applied Statistics

Full course description

At the end of this course, students should be familiar with the basic concepts of inferential statistics, and will be able to perform basic statistical analyses in a variety of scenarios.

In most scientific research, researchers have to deal with the problem of drawing conclusions about a population characteristic of interest, relying only on a sample of observations from that population. Inferential statistics is a way to tackle this problem. This course starts by covering the foundations of inferential statistics, emphasizing the logic behind the statistical reasoning process. This logic is the basis for explaining a number of widely used applied statistical methods: t-test, ANOVA, Chi-square and Regression models. Students will learn how to run and interpret each of these methods using statistical software .

Course objectives

To enhance students’ understanding of the basics of inferential statistics;
To broaden the scope of statistical methods that students are acquainted with by introducing a number of widely used applied tests that were not covered in PRA1002;
To practice the application of statistical concepts by solving applied problems;
To familiarize students with statistical software, so that they can independently run the analyses that are covered in this course and are able to correctly interpret the corresponding output.

Prerequisites

None

Co-requisites

None

Applied Statistics