Dear Thomas,
These are our first courses outside of London and outside of our conference so we want them to be successful so we can extend this initiative to other parts of the UK next year.
Can you please support us by distributing this online flyer to as many contacts as possible?
The two courses are for non-statisticians and/or users of data and so the audience is wide. The Basic Statistics course on 15 and 16 November is for statistical novices while the one day course on Presenting Data on 17 November is ideal for anyone who communicates statistics.
All the details are on the attached flyer. Thank you in advance for your help in promoting these courses.
Best wishes
Tessa
Presenting Data - November 17
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This one day course is the foundation to all presentations of statistical information. The basic principles of presenting information in tables, charts, maps and text are explained. These are illustrated and then reinforced through practical exercises.
Learning Outcomes
By the end of this course Participants will be equipped to disseminate statistical messages in a clear, accurate and meaningful way across various media to general audiences.
Topics Covered
• Information in Tables
• Information in Charts
• Information in Maps
• Information in Text
• Principles of Presentation
Target Audience
This course is for anyone who is involved in communicating statistics to non-statisticians or who reports on data – of any description – within organisation, to specific communities and to the general public where a message is being given.
Basic Statistics - November 15 & 16
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The purpose of the course is to help delegates understand some basic statistical concepts and develop a strategy for approaching a simple data analysis. The course will introduce basic concepts such as hypothesis testing and confidence interval estimation. It will provide the tools to undertake a simple analysis of a dataset and include some helpful hints and tips for reading and understanding reported statistics.
Learning Outcomes
By the end of this course, attendees 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 analyses and to understand some of the basic terms often used to report statistical results. The course will mainly use calculations by hand to aid understanding but will include Excel and/or SPSS output for some statistical tests.
Topics Covered
Day 1: The normal distribution; Basic study design; Data Summary; Confidence intervals; Introduction to hypothesis tests; Analysis of contingency tables – chi-squared test.
Day 2: T-tests; Non-parametric tests, (Wilcoxon signed rank test, Mann-Whitney U test); Correlation and regression; Basic presentation of data and results.
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