Analysing small data sets - a mini overview

Welcome to Stats Central!Stats Central is a statistical consulting unit established at UNSW in 2016 to provide university-wide support for staff and students during study design and analysis.  It is funded through the research division and a growing suite ofpartner schoolsto provide support for UNSW research students and staff in collaborative and consultative roles.  We are currently staffed by six professionally accredited consultants with a breadth of expertise working with researchers across disciplines, and located in the Mark Wainwright Analytical Centre.  Stats Central offers:- Statistical consultations forUNSW staffandstudentsregarding all aspects of the research project (study design, analysis and communication).  Study design advice is free for all UNSW researchers and all consulting services are free for UNSW higher degree research students.  Book a consultationnow.- Intensive short courses on introductory statistics, study design, and regression analysis, at heavily reduced rates for UNSW staff and students.-Grant development and review: Free advice on study design and analysis in the project planning stages, advice on how to write details into your grant application from experienced statisticians, and review of draft applications.  For details write toStats.Central@unsw.edu.au- A hub for biostatisticians and statistical consultants around campus.Is your school or unit interested in partnering with Stats Central?Partner schoolsmake a cash contribution to the scheme in exchange for having a professionally accredited statistician based in their school part-time for enhanced research support.

Stats Central, UNSW Sydney

Analysing data sets with a small number of observations can be a challenge! This seminar will touch on some of the problems that arise in these analyses and outline a number of analysis methods, together with their limitations. The general types of method we will talk about are parametric (e.g. t test, ANOVA), non-parametric (e.g. Mann-Whitney, Kruskal-Wallis) and randomisation methods.
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The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.  Please register by Thursday, 12th July, 10.00 am, so we can cater properly for afternoon tea!
Speaker: Peter Geelan-Small, Stats Central, UNSW

Analysing small data sets - a mini overview

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Analysing small data sets - a mini overview

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