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Introduction to Statistical Analysis.

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.

Trainers

  • Luca Porcu
  • Chandra Chilamakuri

Aims

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.

Learning Objectives

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

Course Materials

Software Requirements

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

Timetable

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

Acknowledgements

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

  • Dominique-Laurent Couturier
  • Matthew Eldridge
  • Paul Judge
  • Mark Fernandes
  • 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.