An online unit of study in the Graduate Certificate of Science (Applied Statistics), Graduate Diploma of Science (Applied Statistics) , Master of Science (Applied Statistics), Bachelor of Science (Honours) (Biomedical technology and Sports Sciecne strands) and an elective online unit of study in the Graduate Diploma of Science (Biotechnology) and Master of Science (Biotechnology). 

This unit of study aims to:
• develop students’ capacity to carry out independent statistical investigations.
• develop an awareness of the assumptions and limitations involved with the generalisation of the results of such investigations.

• provide the skills to communicate effectively the findings of an investigation in the written form via a report.

After successfully completing this unit, you should be able to demonstrate:
• an understanding of how to pose a question including making a clear statement of the objectives of a study and specifying/classifying according to the level of measurement the variables of interest in a study.
• knowledge of how to collect data including the ability to identify the research design (observational study/experimental) used in a study and how to obtain a suitable sample.
• ability to analyse data using IBM SPSS statistics including: 
         * describing the distribution of a single categorical variable using frequency tables, and generalising to the population using hypothesis tests and/or confidence intervals for a single proportion. 
         * describing the distribution of a single metric variable using histograms, stemplots, boxplots, summary statistics and generalising to the population using hypothesis tests (normal and t) and/or confidence intervals for a single mean. 
         * describing the relationship between two metric variables using scatterplots, correlation coefficients (Pearson’s r), the coefficient of determination (r2), and a line of best fit and,generalising to the population using hypothesis tests for Pearson's r. An understanding of correlation and causality. 
         • describing the relationship between two categorical variables using crosstabulation (tables), percentaged and generalising to the population using the chi-squared test. 
         • describing the relationship between a metric and a categorical variable using parallel boxplots, back-to-back stemplots, sets of summary statistics and generalising to the population using the t-test for two means for both related and independent groups.
• An ability to Interprete the results: 
         • use the outcomes of data analysis to answer a question. 
         • suggest directions for further investigations as the results of a study. 
         • communicate the results via written reports, using correct statistical notation including using Microsoft Equation Editor.

Online quizzes 10%,

Assignments 30%

Examination 60%

Analysis skills,
Problem solving skills,

Communications skills, 

Ability to tackle unfamiliar problems,

Ability to work independently

Available from the Swinburne Bookshop
Guarnieri Imma, Foundations of Statistics Parts A and B.

IBM SPSS Statistics ( At the very minimum the Graduate Pak)

Gravetter, F & Wallnau, L. Statistics for Behavioral Sciences. (6th Edition) Belmont, CA: Wadsworth

Moore, D.S. The Basic Practice of Statistics. (3rd Ed) New York: W.H. Freedman & Co.

Moore, D. S. Statistics: Concepts and Controversies. New York: W.H. Freeman and Company

Smithson, M. Statistics with Confidence. London: Sage

Utts, J. & Jeckard, R. Mind on Statistics. Belmont: Duxbury.