Simple Linear Regression and ANOVA (STAA0002)
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|Date:||Twelve 2 hourly sessions: Tuesdays 27/2-22/5* * No class on 3 April – Easter Tuesday|
|Venue:||BA513 Hawthorn Campus|
*******Registrations for this short course are now closed
Duration: 12 x 2 Hour Sessions
Date/s: Tuesdays 27/2-22/5* No classes over easter and ANZAC
Time: 5:30pm - 7:30pm
This course of study aims to extend the ideas developed in Basic Statistics to include more advanced analyses, broaden the range of applications students are familiar with so that they will be able to carry out independent statistical investigations, and develop an awareness of the assumptions and limitations involved in the generalisation of results of such investigations.
Students who successfully complete this unit will be able to:
- Choose the appropriate statistical analysis based on the researcher’s hypothesis, the level of measurement of the variables and the testing of the appropriate assumptions.
- Select appropriate statistical procedures, for example, using SPSS, Java applets on the web and mathematical calculations, to analyse data in a variety of contexts.
- Relate the concepts of effect size, sample size, one or two tailed tests, level of significance and power of a statistical test.
- Write interpretive summary reports for the inferential statistical techniques covered.
- Judge when more advanced techniques are needed by comparing different statistical techniques for the variety of research questions.
Pre-requisites: Basic Statistics (eg STAA0001)
Software used: IBM SPSS Statistics Version 24
Maximum Capacity: 20 students
Online quizzes will be available for self-assessment.
Contact Information: Charlotte Coles