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. 16
... scatter diagram as an effective way of presenting such data. Some historical comments are presented in Sec. 2.6. Frequency. Tables. and. Graphs. The following data represent the number of days of sick leave taken by each of 50 workers of a ...
... scatter diagram as an effective way of presenting such data. Some historical comments are presented in Sec. 2.6. Frequency. Tables. and. Graphs. The following data represent the number of days of sick leave taken by each of 50 workers of a ...
Стр. 37
... Plot, on the same chart, separate class relative frequency polygons for the female and male students. Can any conclusions be drawn about the relationship ... Scatter diagram for IQ versus income: fitting a. 2.3 37 Grouped Data and Histograms.
... Plot, on the same chart, separate class relative frequency polygons for the female and male students. Can any conclusions be drawn about the relationship ... Scatter diagram for IQ versus income: fitting a. 2.3 37 Grouped Data and Histograms.
Стр. 49
... plot the data on a two-dimensional rectangular plot with the x axis representing the x value of the data and the y axis representing the y value. Such a plot is called a scatter diagram. Figure 2.13 presents a scatter diagram for the ...
... plot the data on a two-dimensional rectangular plot with the x axis representing the x value of the data and the y axis representing the y value. Such a plot is called a scatter diagram. Figure 2.13 presents a scatter diagram for the ...
Стр. 50
... plot for annual salaries (in $1000). 80 70 60 50 40 30 20 10 0 IQ score 75 70 80 85 90 95 100 105 110 115 120 125 130 I n c o m e Figure 2.13 Scatter diagram of IQ versus income data. 80 70 60 50 40 30 20 10 0 70. 50 Chapter 2 Describing ...
... plot for annual salaries (in $1000). 80 70 60 50 40 30 20 10 0 IQ score 75 70 80 85 90 95 100 105 110 115 120 125 130 I n c o m e Figure 2.13 Scatter diagram of IQ versus income data. 80 70 60 50 40 30 20 10 0 70. 50 Chapter 2 Describing ...
Стр. 51
... scatter diagram of Fig. 2.13 also appears to have some predictive uses. For instance, suppose we wanted to predict the salary of a worker, similar to the ones just considered, whose IQ test score is 120. One way to do this is to “fit by ...
... scatter diagram of Fig. 2.13 also appears to have some predictive uses. For instance, suppose we wanted to predict the salary of a worker, similar to the ones just considered, whose IQ test score is 120. One way to do this is to “fit by ...
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
Популярные отрывки
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 |