Available in 2022
Course code



10 units


2000 level

Course handbook


This is an applied Statistics course which will meet the needs of practitioners in a wide range of science-related disciplines as well as budding statisticians. STAT2000 builds upon the basic techniques taught in the STAT1070 course. Practical data analysis is experienced including how to design appropriate research studies and collect data.

Availability2022 Course Timetables


  • Semester 1 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Recognise the role of statistical methods in the development of scientific knowledge;

2. Select and implement appropriate standard experimental and observational study designs for collection of valid data in order to solve problems and answer research questions;

3. Select appropriate statistical methods to analyse particular types of data;

4. Explain the concepts of linear statistical models for a single response variable and multiple independent predictor variables;

5. Apply a statistical software package to analyse different data types, interpret results, make conclusions and effectively communicate the outcomes of the analysis.


The course will cover the following statistical techniques:

Analysis of Variance (ANOVA)

  • One-way ANOVA
  • Fixed and Random Effects models
  • Hierarchical and factorial ANOVA
  • Associated Randomised, Randomised Complete Block and Latin Square study designs

Simple Linear Regression

  • Parameter estimation and ANOVA in regression models

Multiple Regression

  • Parameter estimation and Analysis of Covariance in regression models
  • Model selection

Logistic Regression

Non-parametric (distribution-free) tests

Data collection and statistical modeling for research

  • Study design and data collection concepts and principles
  • Assumptions underlying statistical methods
  • Power and sample size calculations
  • Goodness of fit tests and model validation

Assumed knowledge

STAT1070 or STAT1300

Assessment items

Written Assignment: Assignment 1

Report: Group Project

Formal Examination: Examination - Formal

Quiz: Quiz - Class

Written Assignment: Assignment 2

Contact hours


Computer Lab

Face to Face On Campus 2 hour(s) per Week for 12 Weeks


Face to Face On Campus 2 hour(s) per Week for Full Term

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.