Introductory Statistics : Student Solution Manual
By: M. Ross Sheldon
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Material type: 
BookPublisher: India: Academic Press: 2005Edition: 2nd.ISBN: 8131200485 (paperback); 9788131200483 (paperback).Subject(s): Mathematical Statistics | Mathematical Statistics--Study and teaching | StatisticsDDC classification: 519.5 Sheldon 18924 2nd 2005 Statistics Summary: Key features 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 description 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. Readership this text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments for undergraduate student.
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Key features 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 description 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. Readership this text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments for undergraduate student.
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