Basic statistical analyses to explore scientific data │ Prof. Evelyne Sernagor
Channel: Sudanese Researchers Foundation
Date: 2019-02-19

Introduction: 
Conducting sound scientific research involves several important steps. It starts with designing your experiments (generally hypothesis-driven if based on fundamental research) or clinical surveys you want to undertake. The second step is to perform these experiments or surveys. Once data is gathered, it has to be analyzed in a rigorous manner in order to extract the main features of the results and reach conclusions. This last stage requires the use of statistical methods. 
Statistics is the study of data: how to collect, summarise and present it. 
Without proper statistical data analysis, you cannot write good scientific papers or produce reliable clinical reports. 

In this webinar you will learn: 
- The different types of data available and the variables to describe them 
- The concepts of population versus sample and parameters versus statistics 
- Descriptive statistical methods for data exploration (including measures of central tendency, distribution, dispersion, position) 
- How to choose the appropriate graphs to visualize your data 
- How to choose the appropriate statistical test to verify your hypothesis (parametric and non-parametric tests) 

Speaker:
Evelyne Sernagor, PhD 
Professor in Retinal Neuroscience 
Institute of Neuroscience 
Faculty of Medical Sciences 
Newcastle University 
Newcastle upon Tyne, UK 

Moderators: 
Mosab Ali Awadelkareem, Al-Neelain University, Sudan.

Panellists:
Maha Dahawi, University of Khartoum, Sudan.
Cynthia Lefebvre Omar, Sorbonne University, France.

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Sudanese Researchers Foundation:
www.s-rf.org
http://www.youtube.com/c/SudaneseResearchersFoundation
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