Data Analysis

Dr Upton studied at Leicester and Birmingham Universities before taking up a position at the University of Newcastle-upon Tyne. From 1973 until 2014 he taught at the University of Essex, where his responsibilities included time as a dean and as a head of department. His varied data analysis included making sense of British voting figures, identifying gene patterns using microarrays, and estimating rainfall using many different measuring instruments.Dr Brawn is the holder of two PhDs: in Seismology from the University of Witwatersrand (1989); in Applied Statistics from the University of Essex (2009), both fields involving considerable data analysis. His extensive teaching experience covers many branches of the mathematical sciences and has most recently focused on introducing data analysis to students with limited mathematical background.

• 1: First steps2: Summarising data3: Probablity4: Probability distributions5: Estimation and confidence6: Models, p-values, and hypotheses7: Comparing proportions8: Relations between two continous variable9: Several explanatory variables10: Classification11: Last Words

Data analysis by Graham Upton and Dan Brawn is a concise and to-the-point guide to data analysis. Compared to other statistics and data analysis books, this one is well written without delving into extensive details on each topic, making it accessible to college-level students who want to grasp the basics in a short time. For newcomers to data analysis and its foundational concepts, this book serves as an excellent starting point. The authors present the material in a straightforward and clear manner, allowing readers to comprehend the essentials in a single sitting. The book focuses solely on the main points necessary for a deeper exploration of data analysis, making it suitable for beginners rather than those seeking to deepen an existing understanding.