This calculus-based book presents a blend of theory and application. It focuses on inference making as the goal of studying probability and statistics, and features an emphasis on real-life applications of the mathematically divided techniques. Exercises based on documented data sets and other realistic experimental situations motivate the theoretical foundation. Updated and expanded coverage includes: the negative binomial probability distribution (optional); and explicit models for the analysis of variance of completely randomized block designs.

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Providing a sound, theoretical foundation motivated by exercises based on documented data sets and other realistic experimental situations, this text is an honest blend of theory and application. Statistical inference motivates the discussion of probability and is presented as the objective of statistics. This, as well as the role of statistics in scientific research is reinforced throughout the book. Over 200 new theoretical and applied exercises have been added to this edition and several chapters reorganized and expanded.

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Mathematical statistics with applications

Mendenhall, W., Wackerly, D.D. & Scheaffer, R.L.

Used - Soft cover

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