Training
Turn Data From Your Surveys & Trials Into Insights
The next course will be run on Wednesday 16th & Thursday 17th June 2010 in Bath. For more dates in 2010, please look at our calendar. Places are still available with prices starting from £345 + VAT for one day and £595+VAT for both days. You can reserve your place by completing & returning this booking form.
booking form for course This course is for researchers & analysts in all fields
The aim of all research is understand the world better. Any business that wants to better understand their customers, suppliers, products, raw materials, staff, opportunities, risks etc will first need to collect data from either a survey or trial. The next step is to analyse the data and draw conclusions. However, all trials and surveys cost time & money so in order for a business to get the maximum amount of insight from the minimum amount of data, the use of Statistical Concepts and Statistical Inference tools are essential.
Day 1: Statistical Concepts (0900-1700)
Without firm foundations, it can be difficult to build anything. This day will provide you with the foundations and the 6 key concepts that underline all statistical thinking and analysis. Using a mixture of stimulating discussions and exercises, each concept will be carefully explained, its relevance to your business problems highlighted and you will be shown how the calculations can be performed in Excel.
By the end of Day 1 you will be capable of using these concepts to summarise data appropriately using tables and charts. At this point, you will either be able to use your data summaries to make decisions or to frame hypotheses that can be tested using statistical inference methods covered in day 2.
This day introduces the idea of hypothesis testing and how it can be applied to the design of your trials and surveys. As always, we will use a mixture of stimulating discussions and real life case studies to help you understand and apply the following concepts.
• What are variables, factors & levels?
• Why are null & alternative hypotheses important?
• What are P-values and how do we interpret them?
• What are statistical tests (T-tests, F-tests, ANOVA, Chi-squared & Binomial tests) and how do we use them?
Note that this course is not a full-fledged Design of Experiments (DOE) course. However, many of the concepts and tools that you learn about in this course form the foundations of DOE. By attending this course, you will find it very simple to take the next step of learning how to apply DOE.