CRUK: Introduction to Statistical Analysis New
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 Dr. Mark Dunning 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.
Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
No previous experience required
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Tue 21 Jun 2016 10:30 - 16:30 | 10:30 - 16:30 | Room 215, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE | map | Robert Nicholls, Mark Dunning |
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
0.5
Once a year
Booking / availability