Refresher training course on the foundations of statistical analysis. http://tinyurl.com/cruk-stats

View the Project on GitHub bioinformatics-core-shared-training/IntroductionToStats

This course provides a refresher on the foundations of statistical analysis.

The practical sessions use web applications that were developed specifically for this course with the R statistical programming language and the Shiny framework. Although the trainers use R as their statistical computing environment of choice, the focus of the course is on understanding basic statistical concepts rather than learning a particular statistical package.

Note that this is not a course for learning about the R statistical language. If you wish to learn more about R, please take a look at some of the other courses available at the University of Cambridge.

- Dominique-Laurent Couturier
- Matthew Eldridge
- Mark Fernandes

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
- Non-parametric versions of one- and two-sample tests (Wilcoxon tests)

We will not cover ANOVA or linear regression here but these are the topics of a more advanced course.

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
- To 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

You will need an internet connection in order to run the practicals and examples using the following web applications:

Time | Activity |
---|---|

9.30 | Lecture |

10.15 | Quiz |

10.30 | Coffee/tea break |

10.45 | Lecture |

11.45 | Exercises (central limit theorem) & discussion |

12.00 | Lunch break |

13.00 | Lecture |

13.45 | Exercise (one-sample tests) and discussion |

14.15 | Lecture |

15.00 | Coffee/tea break |

15.15 | Exercise (two-sample tests) and discussion |

15.45 | Group based exercise and discussion |

16.45 | Wrap up & questions |

The following individuals are former trainers of this course and have contributed to the materials.

- Paul Judge
- Mark Dunning
- Sarah Vowler
- Deepak Parashar
- Sarah Dawson
- Elizabeth Merrell

This course received funding from the CRUK Cambridge Centre. If you are researching cancer in Cambridge please consider becoming a member.