Applied Statistics and Research Methods

Description

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.

Availability

Callaghan Campus

  • Semester 1 - 2015

Ourimbah

  • Semester 1 - 2015

Learning Outcomes

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. Understand 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.

Content

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

Non-parametric (distribution-free) tests

  • Wilcoxon Signed-rank
  • Wilcoxon Rank Sum (Kruskal-Wallis)
  • Friedman

Simple Linear Regression

  • Parameter estimation and ANOVA in regression models

Multiple Regression

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

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

Assessment Items

Written Assignment: Assignment 1

Presentation: 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 Full Term

Lecture

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