<commit_before>---
layout: page
organizer: Sheffield Bioinformatics Core
title: Statistical Analysis of Biological Data in R
excerpt: "Stats Intro"
startDate: 2020-03-05
endDate: 2020-03-05
startTime: 09.30
endTime: 17.00
postcode: S10 2HQ
country: United Kingdom
venue: Sheffield Institute for Translational Neuroscience
description: "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. 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 Sheffield Bioinformatics Core."
keywords: statistics
difficulty: beginner
contact: <EMAIL>
---

- Sheffield - 5th March 2020
- 09:30am - 5pm
- Pam Liversidge Building, Design Studio 1, D06

## Overview
This course provides a refresher on the foundations of statistical analysis. The course is aimed at scientists at all levels – especially those whose formal education likely included statistics, but who have not perhaps put this into practice since. The focus of the course is on understanding the principles behind statistical testing, how to choose and execute the most appropriate test for your data, and how to interpret the result.

**Note that you will need to be familiar with R to access this course. We have a course scheduled for March 3rd that will cover sufficient background
[https://sbc.shef.ac.uk/training/r-introduction-2020-03-03/](https://sbc.shef.ac.uk/training/r-introduction-2020-03-03/)**

## Registration

Please book your place on the course using [this link](https://onlineshop.shef.ac.uk/conferences-and-events/faculty-of-medicine-dentistry-and-health/neuroscience/statistical-analysis-in-r-5th-march-2020)

## Provisional Timetable and Materials

- 09:30 - 10:00 - Introduction to Statistical Analysis, [Lecture]()
- 10:00 - 10:30 - Contingency tables, and testing for categorical variables, [Lecture]()
- 10:30 - 11:30 - Contingency tables, and testing for categorical variables, [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_i_-_contingency_tables) - including tea and coffee
- 11:30 - 12:00 - Normality, outliers and descriptive statistics, [Lecture]()
- 12:00 - 13:00 - LUNCH
- 13:00 - 14:00 - Normality, outliers and descriptive statistics, [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_ii_-_how_to_assess_normality)
- 14:00 - 17:00 - Significance tests for continuous variables, [Lecture] and [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_iii_-_significance_tests_for_continuous_variables) - including tea and coffee

## Course Data

- Please download and unzip [this file](http://sbc.shef.ac.uk/stats-in-r/stats_course.zip)

## Feedback

- We would be grateful if you could fill in [this feedback form](https://docs.google.com/forms/d/e/1FAIpQLSeW4Dvb0fEbrGY4dP3w6VvVnq7qNmcdikmo1AwlkpC7JQ37YQ/viewform) which will help us improve the course for the future.

## Who should attend this course?

The course is aimed primarily at scientists at all levels – especially those whose formal education likely included statistics, but who have not perhaps put this into practice since. 

## Objectives:- After this course you should be able to:<commit_msg>Update stats-introduction-2020-03-05.md<commit_after>---
layout: page
organizer: Sheffield Bioinformatics Core
title: Statistical Analysis of Biological Data in R
excerpt: "Stats Intro"
startDate: 2020-03-05
endDate: 2020-03-05
startTime: 09.30
endTime: 17.00
postcode: S10 2HQ
country: United Kingdom
venue: Sheffield Institute for Translational Neuroscience
description: "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. 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 Sheffield Bioinformatics Core."
keywords: statistics
difficulty: beginner
contact: <EMAIL>
---

- Sheffield - 5th March 2020
- 09:30am - 5pm
- Pam Liversidge Building, Design Studio 1, D06

## Overview
This course provides a refresher on the foundations of statistical analysis. The course is aimed at scientists at all levels – especially those whose formal education likely included statistics, but who have not perhaps put this into practice since. The focus of the course is on understanding the principles behind statistical testing, how to choose and execute the most appropriate test for your data, and how to interpret the result.

**Note that you will need to be familiar with R to access this course. We have a course scheduled for March 3rd that will cover sufficient background
[https://sbc.shef.ac.uk/training/r-introduction-2020-03-03/](https://sbc.shef.ac.uk/training/r-introduction-2020-03-03/)**

## Registration

Please book your place on the course using [this link](https://onlineshop.shef.ac.uk/conferences-and-events/faculty-of-medicine-dentistry-and-health/neuroscience/statistical-analysis-in-r-5th-march-2020)

## Provisional Timetable and Materials

- 09:30 - 10:00 - Introduction to Statistical Analysis, [Lecture](http://sbc.shef.ac.uk/stats-in-r/Introduction.pptx)
- 10:00 - 10:30 - Contingency tables, and testing for categorical variables, [Lecture](http://sbc.shef.ac.uk/stats-in-r/Part1.pptx)
- 10:30 - 11:30 - Contingency tables, and testing for categorical variables, [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_i_-_contingency_tables) - including tea and coffee
- 11:30 - 12:00 - Normality, outliers and descriptive statistics, [Lecture](http://sbc.shef.ac.uk/stats-in-r/Part2.pptx)
- 12:00 - 13:00 - LUNCH
- 13:00 - 14:00 - Normality, outliers and descriptive statistics, [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_ii_-_how_to_assess_normality)
- 14:00 - 17:00 - Significance tests for continuous variables, [Lecture](http://sbc.shef.ac.uk/stats-in-r/Part3.pptx) and [Practical](http://sbc.shef.ac.uk/stats-in-r/practical.nb.html#part_iii_-_significance_tests_for_continuous_variables) - including tea and coffee

## Course Data

- Please download and unzip [this file](http://sbc.shef.ac.uk/stats-in-r/stats_course.zip)

## Feedback

- We would be grateful if you could fill in [this feedback form](https://docs.google.com/forms/d/e/1FAIpQLSeW4Dvb0fEbrGY4dP3w6VvVnq7qNmcdikmo1AwlkpC7JQ37YQ/viewform) which will help us improve the course for the future.

## Who should attend this course?

The course is aimed primarily at scientists at all levels – especially those whose formal education likely included statistics, but who have not perhaps put this into practice since. 

## Objectives:- After this course you should be able to:
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