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The FASS Subject Librarians are available for one-to-one sessions if any help is needed with searching for journal articles and further research (including Citation Indexes for Social Sciences and Arts & Humanities).


The Lancaster University Statistical Advisory Service is provided by members of the Department of Mathematics and Statistics.  Any member of University staff and any Lancaster PhD student is entitled to free statistical advice concerning their research programme.  Typical requests include help with the design of studies and the number of experimental units to observe, the analysis and interpretation of study data, the identification and use of appropriate statistical software, and the expression of statistical findings in reports and papers. 

Most enquiries lead to advice on how you should proceed in applying suitable statistical procedures: this is not a data analysis service.  Some more complex problems lead to joint research (and joint publication) with the Department of Mathematics and Statistics, in which the adviser does become involved in developing or modifying existing methods or helping with the implementation of novel approaches.
Prospective users of the service should email their request, from a Lancaster University email address, to A description of the request should be provided, including

  • A statement of the research problem;
  • A description of the data (including its dimension) if it has been collected;
  • A statement of the work that has been done already and the nature of the difficulties encountered.

Once a request has been made, data and documents can be uploaded to the RT website.

The Statistical Advisory Service will be running a new drop-in session this term. This service is available to PhD students and members of staff who have queries about aspects of experimental design or statistical analysis.

The session will run from 10am-12noon on Tuesdays during term time in rooms B77 and B79 of the Postgraduate Statistics Centre. There is no need to book in advance, but the session will run on a first come, first served basis. If needed, follow up appointments will be arranged.

The existing appointments based system, accessed by emailing will be running as usual.

For further details, please see the Statistical Advisory Service web page or contact Emma Eastoe

The Department of Mathematics and Statistics also provides an extensive series of short courses in statistical methods and associated computer software.  A full list and booking information can be found on their website.


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