Course results for Swinburne University of Technology Statistics Subjects

Develop a number of statistical data techniques; assess theories and survey limitations. Increase analysis skills and translate investigation outcomes. Recognise statistical inference and sampling distributions. Transcribe interpretative summaries. 

Line up and calculate statistical modelling for a range of research designs. Examine how analysis of variance (ANOVA) and multiple regression methods are used to assess experimental and observational research data. Interpret results and write reports.

Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files. 

Practice and advance your statistical knowledge and extend ideas. Produce an independent investigation. Get analytical and compare groups using parametric and non-parametric methods. Stop generalising, question assumptions and identify data limits. 

Survey research methods and get critical about design. Describe approaches and observe techniques. Sample data collection methods. Scale and graph procedures and figure out incidence and prevalence. Draw on case studies and assess and present data