This is a three day version of our popular two day course. The extra day allows delegates to work on more exercises to reinforce their learning and gives them more time to ask questions. The purpose of this course is to help participants understand some basic statistical concepts and develop a strategy for approaching simple data analysis. The course will introduce basic concepts such as hypothesis testing and confidence interval estimation. It will provide the tools to undertake simple analysis of a dataset and will include some helpful hints and tips for reading and understanding reported statistics.
 

Learning Outcomes

By the end of this course, participants will understand basic approaches to statistical inference, including hypothesis testing and confidence interval estimation. They will be equipped with the skills necessary to undertake simple analysis and to understand some of the basic terms often used to report statistical results. The course will include some calculations by hand to aid understanding, together with the use of Excel to conduct many of the analytical methods covered

Delegates will be expected to bring a laptop to the course.

Topics Covered

Target Audience

This course is aimed at those who have never undertaken a formal statistics course. It is ideal for statistical novices who have never had any formal training but are starting to encounter statistics in their work and wish to gain some insight.
 

Delegate Feedback

"Ellen and Jenny were extremely knowledgeable. They were also approachable and happy to give further explanations when necessary"

"Excellent course. Hard to fault. I can see why it's popular"

"This was a fantastic course, the presenters had a very high knowledge but were able to 'dumb it down' for me as I am new to this"

This is the face-to-face delivery of our Basic Statistics course, running over 3 days. We are also delivering this course through other formats, please click here to see the different options.

Dr Jenny Freeman

Jenny Freeman manages the Maths and Statistics Resource Centre at the University of Sheffield and has over 15 years of experience of teaching statistics, particularly to beginners. Prior to this she was an associate professor of Biostatistics at the University of Leeds and a senior lecturer at the University of Sheffield. For her PhD she was involved in producing growth reference centiles for UK children. Her current role stems from a longstanding interest in how students learn statistics and understand the core concepts. She is especially interested in the communication of statistics to non-statisticians and the way in which data/information/statistics are displayed. She is the recipient of two Senate awards from the University for the excellence of her approach to learning and teaching and the first winner of the Keith Boddy Prize for best educational paper in the journal ‘Scope’.