The University of Newcastle, Australia
Available in 2019

Course handbook

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.


Availability2019 Course Timetables

Callaghan

  • Semester 1 - 2019

Ourimbah

  • Semester 1 - 2019

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. 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

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

STAT2000Applied Statistics and Research MethodsThis 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.FSCITFaculty of Science724School of Mathematical and Physical Sciences1020005940Semester 1 - 2019CALLAGHANCallaghan20195940Semester 1 - 2019CENTRALCSTOurimbah2019STAT1070 or STAT2010The 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 designsSimple Linear Regression Parameter estimation and ANOVA in regression modelsMultiple Regression Parameter estimation and Analysis of Covariance in regression models Model selectionLogistic RegressionNon-parametric (distribution-free) testsData 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 YOn successful completion of this course, students will be able to:1Recognise the role of statistical methods in the development of scientific knowledge;2Select and implement appropriate standard experimental and observational study designs for collection of valid data in order to solve problems and answer research questions;3Select appropriate statistical methods to analyse particular types of data;4Understand the concepts of linear statistical models for a single response variable and multiple independent predictor variables5Apply a statistical software package to analyse different data types, interpret results, make conclusions and effectively communicate the outcomes of the analysis. Written Assignment: Assignment 1Report: Group ProjectFormal Examination: Examination - FormalQuiz: Quiz - ClassWritten Assignment: Assignment 2 Callaghan and OurimbahComputer LabFace to Face On Campus2hour(s)per Week for12Weeks0LectureFace to Face On Campus2hour(s)per Week for0Full Term0


Assessment items

Written Assignment: Assignment 1

Report: Group Project

Formal Examination: Examination - Formal

Quiz: Quiz - Class

Written Assignment: Assignment 2


Contact hours

Callaghan and Ourimbah

Computer Lab

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

Lecture

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