Course Description

Course Name

Statistics II: Inferential Statistics

Session: VRMS3122

Hours & Credits

3 Credits

Prerequisites & Language Level

Pre-requisites: MTH 102.

Taught In English

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


This course is designed to have a more in-depth comprehension of the nature of data values presented in the major fields offered at AUR. This class will focus on inferential methods to make predictions on targeted populations. Students will learn how to collect sample data, how to classify these data into different variables, and how to place them in charts, contingency, and bivariate tables. Finally, students will learn, by the use of inferential Statistics, how to cross all these variables to determine whether a relationship exists among them in relation to potential populations. The goal of this class is to teach students how to support their research statistically. The final exam for this class will be a research paper in which students support their findings by analyzing a variety of data sets. Graphs and calculations will be presented by the use of the SPSS software.

*Course content subject to change