Statistics Fundamentals for Research & Industry, illustrated with XLSTAT, London UK, 7-8 Jul 2016
The course will be held in London, UK.
This session is over
Statistics fundamentals for Science and Industry – a hands on XLSTAT course
This basic but wide-ranging course covers the easy to use features in XLSTAT for investigating, visualising and performing basic statistical techniques on data sets typical to research and industry settings. There are many basic concepts that need to be understood before statistics can be used to its full potential to give useful and informative answers. This course ensures that these concepts are understood in a non-technical way and then practised using real data examples. Mathematical details are kept to a necessary minimum and we focus on the interpretation of the outputs from XLSTAT and illustrate applications with case studies using data from surveys, instrumental analysis, manufacturing processes, clinical trials and biological data. We aim to explain the objectives of the techniques and to send you away with a better understanding of which technique to use when. No previous knowledge of statistics is necessary with this course, as we start right from the beginning. It also serves as a useful refresher course to those who once studied statistics as part of a college course. There is plenty of opportunity for practice using XLSTAT through hands on exercises for which annotated solutions are provided.
Statistics fundamentals for Science and Industry - training program
1. Back to the beginning – Refresh the absolute basics of statistics
- Types of data
- Summary Measures
- What is variability?
2. How sure are we? - Assessing Variability
- Data Visualisation
- Frequency Distributions
- Measures of Variability
- Degrees of Freedom
- Descriptive Statistics
3. The answer could be…? - Estimation
- Confidence Intervals
- Presenting Results
- Data Requirements
4. Which is better? - Making Statistical Comparisons
- Testing against a target (T Tests)
- General Hypothesis tests
- Comparison of 2 samples (means and variance) inc ANOVA
- Problems with statistical significance and p-values
5. Analysis of Binary (Yes/No)Data
- Estimating Response Rates with uncertainty
- Testing for significance
6. Power & Sample Size
- How big a sample do I need to meet my objectives?
- What is statistical power?
- Statistical performance v practical considerations
- Power & Sample Size
7. Correlation & Simple Regression
- Correlation – what is measures
- Simple trend modelling – assessment of fit
8. Multiple Regression & Further Modelling
- Variable selection techniques
- Pitfalls for the unwary
- Modelling curvature
9. Study Design
- Issues to consider
LocationLondon United Kingdom
Consultant at Qi Statistics Ltd
Gemma Hodgson is a statistical consultant at Qi Statistics Ltd, a UK based consultancy offering a full portfolio of statistical support through training, data analysis, project consultancy and software development. She is a chartered statistician with over 15 years of experience in a wide range of roles both with big and small companies. She has run many training workshops with a focus on taking the perceived mystery out of statistics, equipping participants to answer their business questions in a more efficient way.