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Stats and math

Stats & Math 2

Student Learning Development is currently exploring options for the provision of stats and math support for undergraduate students who aren’t taking stats or math papers and who could use help with developing specific numeracy and/or statistical skills. In the meantime, we can recommend some online resources or you can talk to one of our learning advisers. If the learning adviser is unable to directly assist, they will suggest other options for support.

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Statistical Modelling 1

6-8 June 2018
Presented by: Austina Clark and Ting Wang, Mathematics and Statistics
Cost: $320
Duration: 3 full days

In practice, when we have a dataset, the main question is often about which model we should use to analyse the data. This workshop focuses on explaining how to choose suitable models for a dataset, how to carry out basic statistical modelling in R, how to carry out model selection and model diagnostics, and how to interpret the results. This 3-day workshop assumes all participants having a working knowledge of R and basic statistics. If not, we recommend you become familiar with R before attending this workshop. The topics covered include exploratory data analysis, simple linear regression, multiple linear regression (including collinearity), linear logistic model for binomial data, Poisson regression for count data, experimental designs, model selection and model-checking.
This workshop will only run if 10 or more people have registered and paid.

Register before 29 May 2018. Payment secures your place.

SWoPS Administrator
Dept of Mathematics and Statistics
University of Otago
PO Box 56
Dunedin 9054
New Zealand Email
Tel 03 479 7899