Introductory Statistics

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Academic Press, 11 июл. 2005 г. - Всего страниц: 832
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. 195 - As I was going to St. Ives, I met a man with seven wives, Every wife had seven sacks, Every sack had seven cats, Every cat had seven kits — Kits, cats, sacks, and wives, How many were going to St. Ives?
Стр. 309 - We see . . . that the theory of probabilities is at bottom only common sense reduced to calculation; it makes us appreciate with exactitude what reasonable minds feel by a sort of instinct...
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. 305 - I know of scarcely anything so apt to impress the imagination as the wonderful form of cosmic order expressed by the "Law of Frequency of Error.
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.
Стр. 671 - Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.
Стр. 391 - In relation to any experiment we may speak of this hypothesis as the " null hypothesis," and it should be noted that the null hypothesis is never proved or established, but is possibly disproved, in the course of experimentation. Every experiment may be said to exist only in order to give the facts a chance of disproving the null hypothesis.
Стр. 305 - Law of Frequency of Error." The law would have been personified by the Greeks and deified, if they had known of it. It reigns with serenity and in complete self-effacement amidst the wildest confusion. The huger the mob, and the greater the apparent anarchy, the more perfect is its sway. It is the supreme law of Unreason. Whenever a large sample of chaotic elements are taken in hand and...
Стр. 300 - ... equal to the population standard deviation divided by the square root of the sample size. The standard deviation divided by the square root of the sample size is called the standard error.

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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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