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Statistics: Principles and Methods 7/e

作者：Richard A. Johnson, Gouri K. Bhattacharyya
原價：NT$ 1,680

ISBN：9781119326182
版次：7
年份：2014
出版商：John Wiley
頁數/規格：716頁/平裝雙色
參考網頁：Statistics: Principles and Methods 7/e

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內容介紹本書特色目錄

Description
Johnson/Bhattacharyya is unique in its clarity of exposition while maintaining the mathematical correctness of its explanations. Many other books that claim to be easier to understand often sacrifice mathematical rigor. In contrast, Johnson/ Bhattacharyya maintain a focus on accuracy without getting bogged down in unnecessary details.

Features

Crucial elements are boxed to highlight important concepts and methods essential for learning statistics. At the end of each chapter, all of its key ideas and formulas are summarized.

A rich collection of examples and exercises is included. These are drawn from a large variety of real-life settings. In fact, many data sets stem from genuine experiments, surveys, or reports.

Technology: At the end of most chapters are step-by-step directions for using MINITAB, EXCEL, and the TI-84 calculator. This concentrates the presentation of special purpose instructions so that, with few exceptions, only computer output is needed in the text.

Regression analysis is a primary statistical technique so Johnson/Bhattacharyya provides a more thorough coverage of this topic than is usual at this level. Complex formulas and calculations are judiciously replaced by computer output so main ideas can be easily learned and appreciated by students.

Computer Aided Statistical Analyses use software packages that can remove much of the drudgery of hand calculation and plotting. They allow students to work with larger data sets, where patterns are more pronounced, and make complicated calculations

A Convenient Data Bank at the end of the book contains a substantial collection of data. These data sets, together with numerous others throughout the book, allow for considerable flexibility in the choice between concept-oriented and applications-oriented exercises.

New To This Edition

A new section has been added on the Poisson distribution.

More examples and problems have been added to the section on the law of total probability and Bayes’ theorem.

The number and variety of applications and exercises have been expanded throughout the text.

Data has been updated throughout the book.

Table of Contents
1. Introduction to Statistics
2. Organization and Description of Data
3. Descriptive Study of Bivariate Data
4. Probability
5. Probability Distributions
6. The Normal Distribution
7. Variation in Repeated Samples-Sampling Distribution
8. Drawing Inferences From Large Samples
9. Small-Sample Inferences for Normal Populations
10. Comparing Two Treatments
11. Regression Analysis I: Simple Linear Regression
12. Regression Analysis II: Multiple Regression and Other Topics
13. Analysis of Categorical Data
14. Analysis of Variance (ANOVA)
15. Nonparametric Inference

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