Statistical Support Service
The Statistical Support Service (StatSS) provides advice on statistical methods to help university students and staff engaged in research. The service is intended to provide low cost and non-profit statistical support for University of Newcastle researchers.
We can assist researchers with:
- Study designs and surveys
- Data analysis
- Writing up statistical results
- Grant or project proposals
- Seminars/Workshops/Courses in statistics for individual or School/Discipline needs
The service is open to all Newcastle University researchers including conjoint staff. See the guidelines for use before booking an appointment.
The service is heavily used and in busy periods delays of up to two to three weeks might be experienced before you can see a consultant, so please plan well in advance and make your bookings early.
The StatSS is open to all University researchers across Faculties including:
- HDR students, PhD and research Masters or equivalent
- Honours students and coursework Masters' students with projects equivalent to Honours
- Conjoint staff
The service is not available to clients external to the University, undergraduate students and course work only Masters students. External parties can contact the service to obtain quotes for statistical consulting work using the general enquiries contact details at the bottom of the page or by completing and submitting the relevant sections of the appointment form.
An appointment form needs to be completed prior to an initial appointment. Students require their supervisor's authorisation and ideally will be accompanied by their supervisor to the first meeting.
You will need to have a sufficient background in statistics to adequately communicate with the service. Ideally statistical advice should be requested at the initial planning and design stage of your project.
The service is free to all researchers from the Faculty of Science. All other University researchers can use the service but have to pay full rate at $125 per hour for 2017.
In cases where payment will be required, full details of the university account to be billed and proper authorisation must be provided.
Bring to your first appointment:
- the protocol or methodology you plan to use
- a description of the data to be collected, or secondary data analysed
- relevant references
When you are at the data analysis stage, remember to prepare the data for analysis as appropriate.
If you have already done some data exploration and analysis please bring this too. All original and correct data observed or obtained should be brought to the appointment.
An acknowledgement of the contribution of the StatSS consultant should be made in a thesis or publication. Where the contribution of a consultant is substantial, co-authorship should be considered.
Three free seminars are provided to all university researchers at the end of first semester each year and cover the following topics:
- What is statistics about? | Monday 5th June 2017
- What method do I use? | Wednesday 7th June 2017
- How much data should I collect? | Friday 9th June 2017
2017 presentation times for these seminars will be 9.45 for 10am start to 12noon. The seminars will be held in VG10 (Mathematics Building).
Download the seminar series PDF for more information and registration details here.
2017 Seminar resources are available below.
What is statistics about? (PDF, 366.11 KB)
What method should I use? (PDF, 1089.23 KB)
How much data should I collect? (PDF, 686.23 KB)
How to analyse my data | wednesday 5th - friday 7th July 2017
This is a 3 day course only offered midyear each year. It is aimed at RHD students, but staff can attend too. The focus is on understanding and data visualisation to break down the complexity of statistical testing. The course provides help in analysing data, as well as interpretation and reporting of results. The use of statistical software packages will be illustrated with hands on practice using SPSS.
Download the course information detail and registration form here.
Like to see something added to the course, timing not right or if you have any questions we want to hear from you. Please use the general inquiries contact details at the bottom of the page.
For access to free courses on the fundamentals of SAS software, email firstname.lastname@example.org and ask for the free activation code to the SAS Elearning modules.
- For some good practice guidelines on using Excel to prepare your data for statistical analysis see
- For additional help the UCLA consulting unit web site provides many good resources in a number of areas: