Statistical Consultancy Service - Manawatu Campus
The statistical consultancy service is offered by the Statistics and Bioinformatics group of the School of Fundamental Sciences at Palmerston North, providing advice to researchers within Massey University as well as private organisations.
The group also arranges occasional short courses and workshops.
How do I book an appointment?
To book an appointment, please fill in our brief client information sheet. On receiving this we will set up an appointment for your first consultation.
For postgraduate students, we ask that supervisors are also present for the initial meeting. We normally aim to respond to queries within a week but may take longer during busy periods. The availability of the service is subject to time restrictions of the operating staff members.
About our consultants
Dr Jonathan Godfrey is a Lecturer in Statistics. He has several years successful experience in managing small to medium sized consulting projects that have matched the most suitable of our staff and students to each enquiry in order to get the job done effectively. His particular expertise are in design of experiments and imputation of missing data.
The service is supported by other staff members, drawing on their individual research strengths and expertise to help each client. Postgraduate students also provide a valuable contribution in the form of peer-to-peer support for other postgraduate students across campus. No matter what sort of statistical concerns you have, our aim is to provide you with the assistance that delivers a solution.
$75 - consultant
$35 - student consultant
$130(+GST) - consultant
$75(+GST) -student consultant
To be eligible for the internal rates this must be paid by internal transfer. If students are funded externally and using an external funding source to pay for the service then external rates apply. For certain problems it may be possible to work with one of our student consultants who are studying for a postgraduate degree in the department.
Introduction to R Course
Introduction to R Courses are held when there is a demand for them.
Introduction to RStudio Thursday 11th February to Friday 12th February 2021 (Registration will open 11 January 2021)
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Last updated on Friday 11 December 2020