The University of Newcastle, Australia
Available in 2019

Course handbook

Description

Using data to support decision making is essential in many disciplines, but how do we collect appropriate data? This course covers the design and analysis of surveys and experiments. Development of data collection instruments, methods for drawing a sample and estimation procedures appropriate to each design are described. The course aims to foster a sound understanding of the basic concepts and application of sampling and the principles of experimental design. Assignments and exercises are based on real problems.

This course is open to students in the BMath program (including double degree programs) or to students in other programs who have received explicit permission from the Head of Discipline of Statistics.

This course is shared by the Universities of Newcastle, Western Sydney and Wollongong as part of the Applied Statistics Education and Research Collaboration (ASEARC). In some years, the course will be beamed live from one of the other institutional partners using the Access Grid Room rather than being taught face-to-face at Newcastle.


Availability2019 Course Timetables

Callaghan

  • Semester 1 - 2019

Learning outcomes

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

1. Gain familiarisation with the concepts and application of sampling and experimental design, and their use in modelling.

2. Obtain practice with recognising and using key statistical skills.

3. Develop skills in using the mathematical tools required to solve sampling and design problems.

4. Develop skills and understanding of the collection and management of data.

5. Develop skills and familiarity in identifying the statistical tools required to solve practical problems.

6. Understand the principles of sampling, estimation and experimental design.

7. Design and analyse surveys.

8. Design and analyse experiments.


Content

Topics covered include:

  • Design of surveys
  • Design and estimation for a simple random sample
  • Design and estimation for a stratified sample
  • Design and estimation for a cluster sample
  • Design and analysis of experiments including completely randomised designs, randomised block designs, incomplete block designs and factorial designs

Requisite

This course is open to students in other programs who have received explicit permission from the Head of Discipline of Statistics.


Assumed knowledge

STAT3170Surveys and ExperimentsUsing data to support decision making is essential in many disciplines, but how do we collect appropriate data? This course covers the design and analysis of surveys and experiments. Development of data collection instruments, methods for drawing a sample and estimation procedures appropriate to each design are described. The course aims to foster a sound understanding of the basic concepts and application of sampling and the principles of experimental design. Assignments and exercises are based on real problems.

This course is open to students in the BMath program (including double degree programs) or to students in other programs who have received explicit permission from the Head of Discipline of Statistics.

This course is shared by the Universities of Newcastle, Western Sydney and Wollongong as part of the Applied Statistics Education and Research Collaboration (ASEARC). In some years, the course will be beamed live from one of the other institutional partners using the Access Grid Room rather than being taught face-to-face at Newcastle.FSCITFaculty of Science724School of Mathematical and Physical Sciences1030005940Semester 1 - 2019CALLAGHANCallaghan2019Introductory statistics, Introductory calculus and algebra, Statistics package such as SAS, SPSS, Stata, MinitabTopics covered include: Design of surveys Design and estimation for a simple random sample Design and estimation for a stratified sample Design and estimation for a cluster sample Design and analysis of experiments including completely randomised designs, randomised block designs, incomplete block designs and factorial designs YOn successful completion of this course, students will be able to:1Gain familiarisation with the concepts and application of sampling and experimental design, and their use in modelling.2Obtain practice with recognising and using key statistical skills.3Develop skills in using the mathematical tools required to solve sampling and design problems.4Develop skills and understanding of the collection and management of data.5Develop skills and familiarity in identifying the statistical tools required to solve practical problems.6Understand the principles of sampling, estimation and experimental design.7Design and analyse surveys.8Design and analyse experiments. This course is open to students in other programs who have received explicit permission from the Head of Discipline of Statistics.Written Assignment: Assignment ¿Sample Surveys (x3)Written Assignment: Project Assignment -Sample SurveysWritten Assignment: Assignment ¿Experimental Design (x3)Written Assignment: Project Assignment Part A and B - Experimental DesignFormal Examination: Final Exam CallaghanLectureFace to Face On Campus2hour(s)per Week for0Full Term0TutorialFace to Face On Campus1hour(s)per Week for0Full Term0


Assessment items

Written Assignment: Assignment ¿Sample Surveys (x3)

Written Assignment: Project Assignment -Sample Surveys

Written Assignment: Assignment ¿Experimental Design (x3)

Written Assignment: Project Assignment Part A and B - Experimental Design

Formal Examination: Final Exam


Contact hours

Callaghan

Lecture

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

Tutorial

Face to Face On Campus 1 hour(s) per Week for Full Term