Traditional statistical inference is integrated with the more modern idea of data analysis in this introductory text for non-technical students. Material begins with simple data sets and proceeds to those with more structure. Examples are plentiful and have been chosen from diverse fields, making the subject accessible to students of any academic field. The book contains many pictures as well as detailed calculations with step-by-step instructions and a formula to indicate in mathematical notation exactly what is being done. At the end of each chapter is a brief summary which reviews the material and explains key terms. Following this are questions which help readers review main new concepts and ideas, and practice problems (many with real data sets).

Pr�sentation de l'�diteur

Introductory statistics book for the non–technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

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