# STU12502 – Introduction to Statistics II

## Module Learning Outcomes

On successful completion of this module, students will be able to:
LO1. Strongly grasp of the fundamental statistical ideas of significance tests
and confidence intervals, which underpin statistical analysis;
LO2. Apply simple statistical methods to practical problems involving two
groups or contingency tables;
LO3. Apply simple statistical methods to practical problems involving multiple
groups or explanatory variables;
LO4. Explain why statistical methods are so widely applied in both the natural
and social sciences, engineering and business;
LO5. Develop their knowledge of more advanced statistical ideas and
methods

## Module Content

To introduce students to the elementary ideas of statistical inference and the use of
simple statistical methods in practical situations. Topics include:
• statistical variation;
• parameter estimation;
• statistical tests and their properties;
• design and analysis of simple comparative studies for both binary and
continuous variables;
• introduction to Analysis of Variance (ANOVA), regression and contingency
tables.

## Teaching and learning Methods

Two lectures and one tutorial per week.

## Assessment Details

The final mark is the weighted average of the assessment and the 2 hour
examination mark

## Contact Hours and Indicative Student Workload

Extensive manuscripts sufficient for the course purposes will be provided. The
following book is one of the best.
Sheldon Ross, Introduction to probability and statistics for engineers and scientists.
Fifth edition 2014.

## Module Pre-requisites

Prerequisite modules: STU12501
Other/alternative non-module prerequisites: knowledge of elementary probability,
especially the normal distribution, expectation and variance.

None

Blackboard