INTRODUCTORY STATISTICS FOR BUSINESS AND ECONOMICS WONNACOTT PDF

Looking for beautiful books? Amazon Inspire Digital Educational Jntroductory. The regression model is well covered, including both nonlinear and multiple regression. Alexa Actionable Analytics for the Web. Thomas H. Wonnacott No preview available — Introductory statistics for business and economics.

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It also is designed so that the first eight to twelve chapters can be used in a one-semester course. Our objective is to make statistics lively, practical, and clear. To The Student Statistics is the intriguing study of how you can describe an unknown world by opening a few windows on it. You will discover the excitement of thinking in a way you have never thought before.

This book is not a novel, and it cannot be read that way. Whenever you come to a numbered example in the text, try first to answer it yourself. Only after you have solved it, or at least have given it a lot of hard thought, should you consult the solution we provide. The same advice holds for the exercise problems at the end of each section. These problems have been kept computationally as simple as possible, so that you can concentrate on insight rather than arithmetic.

At the same time, we have tried to make them realistic by the frequent use of real data -- or at least small subsets of real data. The point of going through the hand calculations in the text is not to become an expert at calculating, but to develop a feeling for what the concepts mean. For this purpose, small sets of numbers will do. The much larger sets of real data are usually handled by computers anyway.

We want students who like computers to see their power. But at the same time we keep these exercises optional, so that other students can master the text without using a computer themselves. Brief answers to all odd-numbered problems are given in the back of the book. To The Instructor Throughout this book, we use examples to introduce new material; the general theory is presented only after the student has gained a clear, intuitive idea of the concepts.

We give students the basic scientific understanding available only in more advanced texts, and use the simplest mathematics possible to achieve this. The only prerequisite is high school algebra. Students who enjoy calculus can use it occasionally in the optional Appendixes at the back of the book.

This book shows the logical relation between topics that often have appeared in texts as separate and isolated chapters. A few examples are the equivalence of confidence intervals and hypothesis testing; the t test and the F test; and analysis of variance and regression using dummy variables. In every case, our motivation has been to help students appreciate the underlying logic, so that they can arrive at answers to practical problems.

We have placed high priority on the regression model, not only because regression is widely regarded as the most powerful tool of the practicing statistician but Laos because it provides a good focal point for understanding such related techniques as correlation and analysis of variance.

We give a great deal of coverage to nonlinear and multiple regression, and emphasize the value of multiple regression in reducing bias in observational studies.

This text is designed for maximum flexibility. Basic classical statistics are presented in the first fifteen chapters, while the last ten chapters include special but important topics such as nonparamteric statistics, index numbers, decision trees, Bayesian inference, time series, and so on.

The instructor can choose any combination of topics in these last ten chapters to complete the course. To help instructors pick their way throughout the topics that best suit their classes, some chapters can be abbreviated or taught later, with little interruption to the continuity -- by odd coincidence, the odd Chapters, 1, 3, 5, 7, and 9.

And some sections, marked with a star, can be omitted entirely with no interruption whatsoever. We have tried to keep the length of the book manageable by deleting about 50 topics such as permutations an combinations, the Poisson distribution, confidence intervals for variances, game theory, and so on. This New Edition As computers take over more of our routine and technical burdens, it becomes more and more important for students to develop the skills that only a human has -- imagination and judgment.

This has motivated most of the changes in this new edition, specifically: I. As the last Review Problem it makes an excellent assignment, since students can see how their new skills can be used to get imaginative solutions to practical problems -- often real problems drawn from the literature, or simplified and manageable versions of them. This is only one of the many ways that we have tried to inject more of a real-life flavor.

There is more emphasis on computing. In listing computer input and output, the text gives all students including those who initially want to avoid computers an easy familiarity with a tool that takes the drudgery out of statistics. And as a byproduct, it relieves students from ever seeing complicated "calculating formulas.

We have expanded our advice about which techniques are appropriate -- for example, the mean and median in Section , hypothesis testing in and , simple and multiple regression in , and nonparametric and robust statistics in We have added several new sections, ranging from a major section in Chapter 2 on graphs and common sense, to bootstrapping in Chapter 8.

All of the calculus and practically all of the proofs have been moved to the Appendixes at the back of the book, where they can easily be kept optional. Over the past several editions, we have introduced many practical and modern topics in a brief and readable way. If needed, their technical details can be looked up in the Encyclopedia edited by Kotz, Johnson, and Read -- a work so comprehensive that it almost makes chapter-by-chapter reference lists obsolete. Many of these topics are indispensable to practitioners, but are unavailable in introductory texts.

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Introductory Statistics for Business and Economics

It also is designed so that the first eight to twelve chapters can be used in a one-semester course. Our objective is to make statistics lively, practical, and clear. To The Student Statistics is the intriguing study of how you can describe an unknown world by opening a few windows on it. You will discover the excitement of thinking in a way you have never thought before. This book is not a novel, and it cannot be read that way. Whenever you come to a numbered example in the text, try first to answer it yourself. Only after you have solved it, or at least have given it a lot of hard thought, should you consult the solution we provide.

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