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Thu 5 Nov 2020
09:30 - 17:00

Venue: Bioinformatics Training Facility - Online LIVE Training

Provided by: Bioinformatics


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Introduction to Statistical Analysis (Online)

Thu 5 Nov 2020


PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

This course provides a refresher on the foundations of statistical analysis. The emphasis is on interpreting the results of a statistical test, and being able to determine the correct test to apply.

Practicals are conducted using a series of online apps, and we will not teach a particular statistical analysis package, such as R. For courses that teach R, please see the links under "Related courses" .

This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at CRUK Cambridge Institute.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Please be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
  • Further details regarding eligibility criteria are available here

No previous experience required


Number of sessions: 1

# Date Time Venue Trainers
1 Thu 5 Nov 2020   09:30 - 17:00 09:30 - 17:00 Bioinformatics Training Facility - Online LIVE Training Dominique-Laurent Couturier,  Mark Fernandes
Topics covered

Bioinformatics, Data handling, Statistical calculation


After this course you should be able to:

  • State the assumptions required for a one-sample and two-sample t-test and be able to interpret the results of such a test
  • Know when to apply a paired or independent two-sample t-test
  • Assess the distribution of your data and decide if a parametric or non-parametric test is required
  • Perform simple statistical calculations using the online app
  • Understand the limitations of the tests taught within the course
  • Know when more complex statistical methods are required

During this course you will learn about:

  • Different types of data, distributions and structure within data
  • Summary statistics for continuous and discrete data
  • Formulating a null hypothesis
  • Assumptions of one-sample and two-sample t-tests
  • Interpreting the result of a statistical test
  • Statistical tests of categorical variables
  • Non-parmetric versions of one- and two-sample tests

Presentations and practicals

Registration fees
  • Free for registered University of Cambridge students
  • £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here



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