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This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models.
List of contents
Before we start... 1. What is statistics? 2. Know your samples 3. Estimating populations 4. The design of experiments 5. Comparing two variances 6. One sample 7. Two samples 8. Why squares? (At last!) 9. More than two samples 10. Two-way 11. Regression 12. What if my data is not "normal"? 13. Counting 14. Size, power and effects 15. Before we finish... 16. Statistical tables 17. Solution to exercises
About the author
Antonio Marco, Ph.D., is Senior Lecturer in the School of Life Sciences at The University of Essex. Dr Marco obtained a degree in Biological Sciences and a doctorate in Genetics from the University of Valencia and has a Graduate Diploma in Mathematics from the University of London (LSE). He has been a lecturer at the University of Essex since 2013, teaching statistics, mathematics, genomics and bioinformatics, and is the course director of the BSc Genetics and the MSc Health Genomics programmes.
Summary
This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models.
