Titlebook: Making Sense of Statistics; A Non-Mathematical A Michael Wood Textbook 2003Latest edition The Editor(s) (if applicable) and The Author(s),

平躺

MULTI

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正面

Inelasticity

Predicting the Unpredictable or Explaining the Inexplicable: Regression Models, further variable (for example on their general health). Models to do this are called ‘regression models’. We start with the single variable case and then move on to ‘multiple regression models’ which use several variables to make the prediction. We also look at how we can assess the accuracy of reg

隨意

How to do it and What Does it Mean? The Design and Interpretation of Investigations,iments and so on — and at a few of the practicalities of designing investigations and analysing data. We finish with some tentative suggestions for the situation in which, despite this book, you’re stuck: you aren’t sure which method to use, or you don’t understand the results of an unfamiliar techn

athlete’s-foot

Calculating Probabilities: Mental Ball Crunching and Computer Games,l these distributions, the bucket and ball metaphor is extended to the ‘two bucket model’. Finally, we see how two standard distributions, the ‘Poisson distribution’ and the ‘normal distribution’, can be modelled both by simulation and Excel formulae.

GRIN

Introduction: Statistics, Non-mathematical Methods and How to Use this Book, ideas, including computer simulation, and the random choice of balls from a bucket as a metaphor for probability and other statistical concepts. This chapter also outlines the (minimal) arithmetical expertise you will need, and makes some suggestions about computer software, and how to approach statistics and this book.

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