Encyclopedia Of Statistics In Quality And Reliability 4V Set (共1~4冊) (1版)

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【簡介】 Mit dem Schwerpunkt auf Six Sigma bietet dieses mehrbändige, praxisorientierte Nachschlagewerk Informationen zur Anwendung statistischer Verfahren auf den Gebieten der Qualitätssicherung und Reliability-Analyse. Mit zahlreichen detaillierten Fallstudien - unentbehrlich für Fachleute aus Industrie, akademischer Forschung und Behörden.

Business Statistics A Decision-Making Approach 11/E (11版)

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【簡介】 【目錄】 Table of Contents: 1. The Where, Why, and How of Data 2. Graphs, Charts, and Tables－Describing Your Data 3. Describing Data Using Numerical Measures 1 - 3 SPECIAL REVIEW SECTION 4. Introduction to Probability 5. Discrete Probability Distributions 6. Introduction to Continuous Probability Distributions 7. Introduction to Sampling Distributions 8. Estimating Single Population Parameters 9. Introduction to Hypothesis Testing 10. Estimation and Hypothesis Testing for Two Population Parameters 11. Hypothesis Tests and Estimation for Population Variances 12. Analysis of Variance 8 - 12 SPECIAL REVIEW SECTION 13. Goodness-of-Fit Tests and Contingency Analysis 14. Introduction to Linear Regression and Correlation Analysis 15. Multiple Regression Analysis and Model Building 16. Analyzing and Forecasting Time-Series Data 17. Introduction to Nonparametric Statistics 18. Introducing Business Analytics 19. Introduction to Decision Analysis (Online) 20. Introduction to Quality and Statistical Process Control (Online) APPENDICES A to P

Business Statistics 11/e IA (11版)

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【簡介】 ●Decision Dilemmas: Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section. ●Thinking Critically About Statistics in Business Today Exercises: Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today. ●Databases: Twenty databases representing several industries including banking, consumer spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks, and more provide additional opportunities for students to apply the statistics presented in each chapter. ●Big Data Cases engage students with variables, samples, and data. With data from the American Hospital Association, these cases enable students to solve and perform a number of data tasks that are practical for the course and future careers. ●Ethical Considerations: This feature in each course section integrates the topic of ethics with applications of business statistics. ●Demonstration Problems: Virtually every section of every chapter contains demonstration problems. A demonstration problem contains both an example problem and its solution and is used as an additional pedagogical tool to supplement explanations and examples. ●900+ Practice Problems: A treasury of practice problems are available in this course. 【目錄】 1 Introduction to Statistics and Business Analytics 2 Visualizing Data with Charts and Graphs 3 Descriptive Statistics 4 Probability 5 Discrete Random Variables and Their Probability Distributions 6 Continuous Random Variables and Normal Distributions 7 Sampling and Sampling Distributions 8 Statistical Inference: Estimation for Single Populations 9 Statistical Inference: Hypothesis Testing for Single Populations 10 Statistical Inference About Two Populations 11 Analysis of Variance and Design of Experiments 12 Simple Regression Analysis and Correlation 13 Multiple Regression Analysis 14 Building Multiple Regression Models 15 Time-Series Forecasting and Index Numbers 16 Analysis of Categorical Data 17 Nonparametric Statistics 18 Statistical Quality Control 19 Decision Analysis