Introductory StatisticsAcademic 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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Стр. vii
... Summarize Data Sets 3.1 Introduction 70 3.2 Sample Mean 71 3.3 Sample Median 80 3.4 Sample Mode 96 3.5 Sample Variance and Sample Standard Deviation 69 98 3.6 Normal Data Sets and the Empirical Rule 108 3.7. vii Table of Contents.
... Summarize Data Sets 3.1 Introduction 70 3.2 Sample Mean 71 3.3 Sample Median 80 3.4 Sample Mode 96 3.5 Sample Variance and Sample Standard Deviation 69 98 3.6 Normal Data Sets and the Empirical Rule 108 3.7. vii Table of Contents.
Стр. 69
... Sample Mean 71 3.3 Sample Median 80 3.4 Sample Mode 96 3.5 Sample Variance and Sample Standard Deviation 98 3.6 Normal Data Sets and the Empirical Rule 108 3.7 Sample Correlation Coefficient 121 Key Terms 135 Summary 136 Review Problems ...
... Sample Mean 71 3.3 Sample Median 80 3.4 Sample Mode 96 3.5 Sample Variance and Sample Standard Deviation 98 3.6 Normal Data Sets and the Empirical Rule 108 3.7 Sample Correlation Coefficient 121 Key Terms 135 Summary 136 Review Problems ...
Стр. 70
... sample data from some underlying population. Now, whereas in Chap. 2 we ... standard deviation, which are statistics designed to measure such variation ... sample standard deviations from the sample mean. 3.2 In the first six sections of ...
... sample data from some underlying population. Now, whereas in Chap. 2 we ... standard deviation, which are statistics designed to measure such variation ... sample standard deviations from the sample mean. 3.2 In the first six sections of ...
Стр. 97
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Стр. 98
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Содержание
1 | |
15 | |
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 |
795 | |
9 Testing Statistical Hypotheses | 385 |
10 Hypothesis Tests Concerning Two Populations | 437 |
Introductory Statistics Quick Reference Card | 810 |
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Часто встречающиеся слова и выражения
95 percent confidence average number binomial random variable central limit theorem characteristic compute conditional probability confidence interval estimate control chart data set data values degrees of freedom denote the number determine equal error event Example expected value Find the probability Find the sample following data frequency histogram frequency table given H0 is true histogram independent instance Let X denote level of significance linear regression median normal population normal random variable normally distributed null hypothesis obtain outcomes P(A B pair percent confidence interval percent level percentage percentile population mean Prob Problems Program proportion random sample randomly chosen reject H0 otherwise reject the hypothesis relative frequency result sample correlation coefficient sample mean sample standard deviation sample variance scatter diagram score selected significance level significance-level Solution stem-and-leaf plot Suppose test H0 test statistic test the hypothesis Var(X variable with parameters weight workers
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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.
Ссылки на эту книгу
Probability and Statistics by Example: Volume 1, Basic Probability and ... Yu. M. Suhov,Mark Kelbert Ограниченный просмотр - 2005 |