Applied Statistics and Research Methods

Course code STAT2000Units 10Level 2000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

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.

Cannot be counted for credit with STAT2020, STEC2030 or PSYC2000.

Available in 2014

Callaghan CampusSemester 1
OurimbahSemester 1
Previously offered in 2013, 2012, 2011, 2010, 2009, 2008
ObjectivesOn completion of this 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.
ContentThe 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
Replacing Course(s)STEC2030, PSYC2000 and STAT2020.

(These course codes will be eliminated. They are essentially replaced by the new course STAT2000 although some minor content may be re-organised into other related courses.)
TransitionBPsych students are now expected to follow the sequence STAT1070, STAT2000, PSYC3000. Students who have not passed PSYC2000 are expected to complete STAT2000.

Science students who fail STEC2030 should complete STAT2000 instead.

The 2008 offering of STAT3030 will be unchanged and will assume students have completed STAT2020. The 2009 offering of STAT3030 will change to be consistent with students having completed STAT2000 in 2008.
Industrial Experience0
Assumed KnowledgeSTAT1070
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
ProjectsGroup
Quiz - Class
Contact HoursComputer Lab: for 2 hour(s) per Week for Full Term
Lecture: for 2 hour(s) per Week for Full Term
Timetables2014 Course Timetables for STAT2000