# Statistics and Analysis of Scientific Data (2nd Edition)

The revised second edition of this textbook provides the readerwith a solid foundation in probability theory and statistics asapplied to the physical sciences, engineering and related fields.It covers a broad range of numerical and analytical methods thatare essential for the correct analysis of scientific data,including probability theory, distribution functions of statistics,fits to two-dimensional data and parameter estimation, Monte Carlomethods and Markov chains.Features new to this edition include:• a discussion of statistical techniques employed in businessscience, such as multiple regression analysis of multivariatedatasets.• a new chapter on the various measures of the mean includinglogarithmic averages.• new chapters on systematic errors and intrinsic scatter, and onthe fitting of data with bivariate errors.• a new case study and additional worked examples.• mathematical derivations and theoretical background material havebeen appropriately marked,to improve the readability of thetext.• end-of-chapter summary boxes, for easy reference.As in the first edition, the main pedagogical method is atheory-then-application approach, where emphasis is placed first ona sound understanding of the underlying theory of a topic, whichbecomes the basis for an efficient and practical application of thematerial. The level is appropriate for undergraduates and beginninggraduate students, and as a reference for the experiencedresearcher. Basic calculus is used in some of the derivations, andno previous background in probability and statistics is required.The book includes many numerical tables of data, as well asexercises and examples to aid the readers' understanding of thetopic.