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INTRODUCTORY STATISTICS 10/e y Contents PART I: INTRODUCTION Ch 1 The Nature of Statistics PART II: DESCRIPTIVE STATISTICS Ch 2 Organizing Data Ch 3 Descriptive Measures PART III: PROBABILITY, RANDOM VARIABLES AND SAMPLING DISTRIBUTIONS Ch 4 Probability Concepts Ch 5 Discrete Random Variables* Ch 6 The Normal Distribution Ch 7 The Sampling Distribution of the Sample Mean PART IV: INFERENTIAL STATISTICS Ch 8 Confidence Intervals for One Population Mean Ch 9 Hypothesis Tests for One Population Mean Ch 10 Inferences for Two Population Means Ch 11 Inferences for Population Standard Deviations* Ch 12 Inferences for Population Proportions Ch 13 Chi-Square Procedures PART V: REGRESSION, CORRELATION, AND ANOVA Ch 14 Descriptive Methods in Regression and Correlation Ch 15 Inferential Methods in Regression and Correlation Ch 16 Analysis of Variance (ANOVA) PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA MODULE A:Multiple Regression Analysis MODULE B:Model Building in Regression MODULE C:Design of Experiments and Analysis of Variance 58 適用課程:統計學 年份:2016 規格:848 / 彩色 / 平裝  ISBN-139780321989178 ISBN-100321989171 教學配件:教學資源光碟(PowerPoint / 教師手冊 / 題庫) 作者:Neil A. Weiss, Arizona State University 作者Robert V. Hogg, University of Iowa Elliot A. Tanis, Hope College Dale L. Zimmerman PROBABILITY AND STATISTICAL INFERENCE 9/e y Features 1. The new organization: presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability and statistical inference. 2. The student-friendly approach: reinforces basic mathematical concepts, requiring just a calculus background. 3. Application-oriented content: features real-world scenarios in the exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports. 4. Historical vignettes: at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course. 5. All of the data sets are available online at the Pearson Math & Stats Resources website in formats for use with most statistical software packages; enhanced figures from the text and Maple examples are also available. y Contents Ch 1 Probability Ch 2 Discrete Distributions Ch 3 Continuous Distributions Ch 4 Bivariate Distributions Ch 5 Distributions of Functions of Random Variables Ch 6 Point Estimation Ch 7 Interval Estimation Ch 8 Tests of Statistical Hypotheses Ch 9 More Tests 適用課程:高等統計學、數理統計、機率與統計 年份:2015 規格:552 / 雙色 / 平裝 定價: 1180 ISBN-139781292062358 ISBN-101292062355 教學配件:習題解答 Neil A. Weiss INTRODUCTORY STATISTICS 10/e

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  • INTRODUCTORY STATISTICS 10/e

    y ContentsPART I: INTRODUCTIONCh 1 The Nature of StatisticsPART II: DESCRIPTIVE STATISTICSCh 2 Organizing DataCh 3 Descriptive MeasuresPART III: PROBABILITY, RANDOM

    VARIABLES AND SAMPLING DISTRIBUTIONS

    Ch 4 Probability ConceptsCh 5 Discrete Random Variables*Ch 6 The Normal DistributionCh 7 The Sampling Distribution of

    the Sample MeanPART IV: INFERENTIAL STATISTICSCh 8 Confidence Intervals for One

    Population MeanCh 9 Hypothesis Tests for One

    Population MeanCh 10 Inferences for Two Population

    MeansCh 11 Inferences for Population

    Standard Deviations*

    Ch 12 Inferences for Population Proportions

    Ch 13 Chi-Square ProceduresPART V: REGRESSION,

    CORRELATION, AND ANOVACh 14 Descriptive Methods in

    Regression and CorrelationCh 15 Inferential Methods in

    Regression and CorrelationCh 16 Analysis of Variance (ANOVA)PART VI: MULTIPLE REGRESSION

    AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA

    MODULE A:Multiple Regression Analysis

    MODULE B:Model Building in Regression

    MODULE C:Design of Experiments and Analysis of Variance

    58

    管理

    行銷

    財務

    會計

    經濟

    統計.決策

    資訊.生產

    餐旅.法政

    適用課程:統計學

    年份:2016 規格:848頁 /彩色 /平裝 

    ISBN-13:9780321989178 ISBN-10:0321989171

    教學配件: 教學資源光碟(PowerPoint / 教師手冊 /

    題庫)

    作者:Neil A. Weiss, Arizona State University

    作者:Robert V. Hogg, University of Iowa Elliot A. Tanis, Hope College Dale L. Zimmerman

    PROBABILITY AND STATISTICAL INFERENCE 9/e y Features

    1. The new organization: presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability and statistical inference.

    2. The student-friendly approach: reinforces basic mathematical concepts, requiring just a calculus background.

    3. Application-oriented content: features real-world scenarios in the exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.

    4. Historical vignettes: at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course.

    5. All of the data sets are available online at the Pearson Math & Stats Resources website in formats for use with most statistical software packages; enhanced figures from the text and Maple examples are also available.

    y ContentsCh 1 ProbabilityCh 2 Discrete DistributionsCh 3 Continuous DistributionsCh 4 Bivariate DistributionsCh 5 Distributions of Functions of

    Random Variables

    Ch 6 Point EstimationCh 7 Interval EstimationCh 8 Tests of Statistical HypothesesCh 9 More Tests 適用課程:高等統計學、數理統計、機率與統計

    年份:2015 規格:552頁 /雙色 /平裝 定價: 1180元

    ISBN-13:9781292062358 ISBN-10:1292062355

    教學配件: 習題解答

    Neil A. Weiss

    INTRODUCTORY STATISTICS 10/e

    即將出

  • 59

    行銷

    財務

    會計

    經濟

    統計.決策

    資訊.生產

    餐旅.法政

    管理

    適用課程:數量方法

    年份:2015 規格:605頁 /雙色 /平裝 定價:1320元

    ISBN-13:9781292059327 ISBN-10:129205932X

    教學配件: 教學資源光碟(PowerPoint / 教師手冊 /

    題庫)

    作者:Barry Render, Crummer Graduate School of Business, Rollins College

    Ralph M. Stair, Jr., Florida State University Michael E. Hanna, University of Houston – Clear

    Lake Trevor S. Hale, University of Houston – Downtown

    作者:Bernard W. Taylor III, Virginia Polytechnic Institute and State University

    INTRODUCTION TO MANAGEMENT SCIENCE 12/e

    A logical, step-by-step approach to complex problem-solving: gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.

    The Twelfth Edition focuses on the latest technological advances used by businesses and organizations for solving problems and leverages the latest versions of Excel 2013, Excel QM, TreePlan, Crystal Ball, Microsoft Project 2010, and QM for Windows.

    y Contents

    適用課程:管理科學

    年份:2016 規格:864頁 /平裝 

    ISBN-13:9781292092911 ISBN-10:1292092912

    教學配件: 教學資源光碟(PowerPoint /教師手冊 /

    題庫)

    QUANTITATIVE ANALYSIS FOR MANAGEMENT 12/e

    This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science – and how to apply the concepts and techniques in the real world – through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.

    y ContentsCh 1 Introduction to Quantitative

    AnalysisCh 2 Probability Concepts and

    ApplicationsCh 3 Decision AnalysisCh 4 Regression ModelsCh 5 ForecastingCh 6 Inventory Control ModelsCh 7 Linear Programming Models:

    Graphical and Computer Models

    Ch 8 Linear Programming Applications

    Ch 9 Transportation, Assignment, and Network ModelsCh 10 Integer Programming, Goal

    Programming and Nonlinear Programming

    Ch 11 Project ManagementCh 12 Waiting Lines and Queuing

    Theory ModelsCh 13 Simulation ModelingCh 14 Mankov AnalysisCh 15 Statistical Quality Control

    Ch 1 Management ScienceCh 2 Linear Programming: Model

    Formulation and Graphical Solution

    Ch 3 Linear Programming: Computer Solution and Sensitivity Analysis

    Ch 4 Linear Programming: Modeling Examples

    Ch 5 Integer ProgrammingCh 6 Transportation, Transshipment,

    and Assignment Problems

    Ch 7 Network Flow ModelsCh 8 Project ManagementCh 9 Multicriteria Decision MakingCh 10 Nonlinear ProgrammingCh 11 Probability and StatisticsCh 12 Decision AnalysisCh 13 Queuing AnalysisCh 14 SimulationCh 15 ForecastingCh 16 Inventory Management

    即將出

    Bernard W. Taylor III

    INTRODUCTION TO MANAGEMENT SCIENCE 12/e

    2015華泰文化圖書目錄 www.hwatai.com.tw

    統計-決策類