Your Statistical Tool Belt

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dc.contributor.authorDickinson, Stephanie
dc.date.accessioned2018-03-24T18:10:10Z
dc.date.available2018-03-24T18:10:10Z
dc.date.issued2015-10-28
dc.descriptionStephanie Dickinson is a Senior Statistical Consultant with the Department of Epidemiology and Biostatistics.
dc.description.abstractThis introductory workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, or those who have been around but would like to step back and get a framework for how to navigate basic statistical methods.
dc.identifier.urihttps://hdl.handle.net/2022/21964
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.rightsThis work may be protected by copyright unless otherwise stated.
dc.subjectWorkshop in Methods
dc.subjectdata analysis
dc.subjectstatistical methods
dc.subjectresearch methods
dc.titleYour Statistical Tool Belt
dc.typePresentation

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