Update index.md

Author: markdunning

index.md

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-### Welcome to GitHub Pages.
-This automatic page generator is the easiest way to create beautiful pages for all of your projects. Author your page content here using GitHub Flavored Markdown, select a template crafted by a designer, and publish. After your page is generated, you can check out the new branch:
+### Introduction to Statistical Analysis.
 
-```
-$ cd your_repo_root/repo_name
-$ git fetch origin
-$ git checkout gh-pages
-```
+This course provides a refresher on the foundations of statistical analysis. Practicals are conducted using the 'Shiny' package; which provides an accessible interface to the R statistical language.
 
-If you're using the GitHub for Mac, simply sync your repository and you'll see the new branch.
+Note that this is not a course for learning about the R statistical language itself. If you wish to learn more about R, please see other courses at the University of Cambridge
 
-### Designer Templates
-We've crafted some handsome templates for you to use. Go ahead and continue to layouts to browse through them. You can easily go back to edit your page before publishing. After publishing your page, you can revisit the page generator and switch to another theme. Your Page content will be preserved if it remained markdown format.
+- [An Introduction to Solving Biological Problems with R](http://cambiotraining.github.io/r-intro/)
 
-### Rather Drive Stick?
-If you prefer to not use the automatic generator, push a branch named `gh-pages` to your repository to create a page manually. In addition to supporting regular HTML content, GitHub Pages support Jekyll, a simple, blog aware static site generator written by our own Tom Preston-Werner. Jekyll makes it easy to create site-wide headers and footers without having to copy them across every page. It also offers intelligent blog support and other advanced templating features.
+### Authors
 
-### Authors and Contributors
-You can @mention a GitHub username to generate a link to their profile. The resulting `<a>` element will link to the contributor's GitHub Profile. For example: In 2007, Chris Wanstrath (@defunkt), PJ Hyett (@pjhyett), and Tom Preston-Werner (@mojombo) founded GitHub.
+- Mark Dunning
+- Dominique-Laurent Couturier
+- Robert Nicholls
+
+(Acknowledgements: Sarah Vowler, Deepak Parashar, Sarah Dawson, Elizabeth Merrell)
+
+### 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
+- Statistical tests of categorical variables
+- Non-parmetric versions of one- and two-sample tests
+
+### 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
+
+### Software Requirements
+
+You will need an internet connection in order to run the practicals and examples
+
+- [One-sample Test app](http://bioinformatics.cruk.cam.ac.uk/stats/OneSampleTest/)
+- [Two-sample Test app](http://bioinformatics.cruk.cam.ac.uk/stats/TwoSampleTest/)
+- [Contingency Test app](http://bioinformatics.cruk.cam.ac.uk/stats/contingency-table/)
+
+### Course Materials
+
+- [Lecture (pdf)](IntroToStat-DLC-20170424.pdf)
+- [Online quiz](https://docs.google.com/forms/d/e/1FAIpQLScblQ_-ISfSCGp_EIVPPI_mnrJHttaKxln8vVoyjJFvS8BL1w/viewform)
+- A [practical](practical.pdf)
+    + [Interactive document to record your answers for the group exercise](https://public.etherpad-mozilla.org/p/2017-04-24-intro-to-stats)
+- A [Course Manual](manual.pdf)
+- [Example data for the course](CourseData.zip)
+- [Statistical test 'cheat sheet'](cheatsheet.pdf)
+
+### Further Reading
+
+- Using R for Introductory stats [free eBook pdf](http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf)
+- Learning Statistics with R [free textbook pdf](http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/)
 
-### Support or Contact
-Having trouble with Pages? Check out the documentation at https://help.github.com/pages or contact support@github.com and we’ll help you sort it out.