Introductory Statistics

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Academic Press, 11 июл. 2005 г. - Всего страниц: 832
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In this revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. To quote from the preface, "It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data." Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.

* Ross's clear writing style leads students easily through descriptive and inferential statistics
* Hundreds of exercises assess students' conceptual and computational understanding
* Real data sets from current issues draw from a variety of disciplines
* Statistics in Perspective highlights demonstrate real-world application of techniques and concepts
* Historical Perspectives sections profile prominent statisticians and events
* Chapter Introductions pose realistic statistical situations
* Chapter Summaries and Key Terms reinforce learning
* A detachable Formula Card includes frequently used tables and formulas to facilitate studying
* Enclosed CD-ROM contains programs that can be used to solve basic computation problems

New in this Edition:
* Dozens of new and updated examples and exercises
* New sections on: assessing the linear regression model by analyzing residuals; quality control; counting principles; Poisson random variables
* Detailed edits and enhancements based on users' feedback
* A computerized test bank, plus updates to other ancillaries

Ancillaries:
* Instructor's Manual
* Student Solutions Manual (ISBN: 0120885514)
* Printed Test Bank
* Computerized Test Bank
* Instructor's web site with additional online materials

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Содержание

1 Introduction to Statistics
1
2 Describing Data Sets
15
3 Using Statistics to Summarize Data Sets
69
4 Probability
143
5 Discrete Random Variables
209
6 Normal Random Variables
259
7 Distributions of Sampling Statistics
295
8 Estimation
329
11 Analysis of Variance
493
12 Linear Regression
525
13 ChiSquared GoodnessofFit Tests
593
14 Nonparametric Hypotheses Tests
633
15 Quality Control
671
Appendices
701
Answers to OddNumbered Problems
737
Index
795

9 Testing Statistical Hypotheses
385
10 Hypothesis Tests Concerning Two Populations
437
Introductory Statistics Quick Reference Card
810
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Стр. 69 - ... hidden laws of number which it requires a mind like mine to perceive. For instance, if you add a sum from the bottom up, and then again from the top down, the result is always different.
Стр. 13 - They are the only tools by which an opening can be cut through the formidable thicket of difficulties that bars the path of those who pursue the Science of Man.

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Об авторе (2005)

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

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