Practical Statistics

Practical Statistics is a clear and concise introduction and reference guide for those studying business and management at postgraduate level, MBA students and professionals. It gives the reader a solid understanding of statistics without being too simple or mind-numbingly complex. It turns statistics, often perceived as being difficult and pointless, into something approachable and sensible. John Buglear emphasises the importance of working back from results rather than working out results. He starts the book with basic concepts which get increasingly harder, as well as using simple metaphors to aid understanding.Section - - 1:: DATA; Chapter - - 1:: What data is and how to get it; Chapter - - 2:: Types of data; Chapter - - 3:: Samples and populations; Chapter - - 4:: Measuring risk and why it matters for sampling; Chapter - - 5:: The normal distribution and sampling distributions; Section - - 2:: ANALYSING UNIVARIATE DATA; Chapter - - 6:: Charts and diagrams; Chapter - - 7:: Summary measures; Chapter - - 8:: Estimation; Chapter - - 9:: Hypothesis testing; Section - - 3:: ANALYSING BIVARIATE DATA; Chapter - - 10:: Stack and component bar charts; Chapter - - 11:: Scatter diagrams; Chapter - - 12:: Correlation; Chapter - - 13:: Prediction; Chapter - - 14:: Hypothesis testing; Chapter - - 15:: Contingency analysis; Section - - 4:: ANALYSING MULTIVARIATE DATA; Chapter - - 16:: Using regression; Chapter - - 17:: Correlation matrices; Chapter - - 18:: Multiple regression and building regression models; Chapter - - 19:: Prediction; Chapter - - 20:: Hypothesis testing modelling and their components; Section - - 5:: ANALYSING MULTIVARIATE DATA - EXPLORATORY; Chapter - - 21:: Principle component modelling; Chapter - - 22:: Cluster analysis; Chapter - - 23:: Factor Analysis;