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

Elementary Statistics: A Step by Step Approach (11版)

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【簡介】 Description Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows s a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, and travel and leisure. Global Changes Replaced over 100 examples with new or updated ones and over 550 new or updated exercises. Updated the Technology Tips sections. Renumbered statistical tables in the Appendix A. Most exercises include the TI answers along with the answers that use the tables in the book. Chapter Changes Chapter 1 New Statistics Today example. New statistical examples to introduce how statistics are used today. Chapter 2 Updated Statistics Today example. Chapter 5 Section 5-3 now includes solving problems using the combination formula in addition to the binomial formula. Chapters 7, 8, and 9 These chapters have been revised to allow professors who want to teach proportions before means to do so. They should cover the first sections of these chapters and then skip to the proportions sections, and then do the means sections. For those who prefer to teach means before proportions, just follow the sequence of the book. Chapters 8, 9, 10, 11, and 12 These chapters allow professors to teach hypothesis testing using the P-value. It should be noted that some P-values obtained by technology may differ from those in the book since the calculations of P-values depend on the number of decimal places the technology uses to compute the test values. Chapter 14 New section on Big Data. 【目錄】 Table of Contents CHAPTER 1: The Nature of Probability and Statistics CHAPTER 2: Frequency Distributions and Graphs CHAPTER 3: Data Description CHAPTER 4: Probability and Counting Rules CHAPTER 5: Discrete Probability Distributions CHAPTER 6: The Normal Distribution CHAPTER 7: Confidence Intervals and Sample Size CHAPTER 8: Hypothesis Testing CHAPTER 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances CHAPTER 10: Correlation and Regression CHAPTER 11: Other Chi-Square Tests CHAPTER 12: Analysis of Variance CHAPTER 13: Nonparametric Statistics CHAPTER 14: Sampling and Simulation Appendix A: Tables Appendix B: Data Bank Appendix C: Glossary Appendix D: Selected Answers Appendix E: Important Formulas

Statistics: A Tool for Social Research & Data Analysis (11版)

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Statistics: A Tool for Social Research & Data Analysis 11/e AE【含Access Code,刮除不受退】 + 作者： Healey + 年份： 2021 年11 版 + ISBN： 9789814922845 + 書號： PS0493PC + 規格： 平裝/彩色 + 頁數： 568 + 出版商： Cengage ●SPSS examples include problems using the 2018 General Social Survey, the Pew Research Center's Core Trends Survey and databases that incorporate information from the 50 states and a diverse group of nations. ●A new emphasis is placed on the same "real data" that most industries now use to make evidence-based decisions. In every chapter, hypothetical examples have been replaced with new data used by professionals working on current issues in social policy research, market research, social work, education and other fields. These are now featured in Social Research and Data Analysis boxes. ●Highlighting the careers in data analysis that social science students can now pursue, new end-of-chapter problems have been added on social policy and market research topics to complement the text's traditional problems in sociology, social work, political science, criminal justice, public administration and gerontology. ●All the sections on politics (including the most recent general election), criminal justice, public opinion, sexual behavior and other topics have been thoroughly updated throughout. A "Using Statistics" box at the beginning of each chapter tells students what kinds of things they can learn by using that material and where in the chapter they can find examples of it. 目錄 1. Introduction. PART I: DESCRIPTIVE STATISTICS. 2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs. 3. Measures of Central Tendency. 4. Measures of Variation. 5. The Normal Curve. PART II: INFERENTIAL STATISTICS. 6. Introduction to Inferential Statistics: Sampling and the Sampling Distribution. 7. Estimation Procedures. 8. Hypothesis Testing I: The One-Sample Case. 9. Hypothesis Testing II: The Two-Sample Case. 10. Hypothesis Testing III: The Analysis of Variance. 11. Hypothesis Testing IV: Chi Square. PART III: BIVARIATE MEASURES OF ASSOCIATION. 12. Bivariate Association for Nominal- and Ordinal-Level Variables. 13. Association Between Variables Measured at the Interval-Ratio Level. PART IV: MULTIVARIATE TECHNIQUES. 14. Elaborating Bivariate Tables. 15. Partial Correlation and Multiple Regression and Correlation. Appendix A: Area Under the Normal Curve. Appendix B: Distribution of t. Appendix C: Distribution of Chi Square. Appendix D: Distribution of F. Appendix E: Using Statistics: Ideas for Research Projects. Appendix F: An Introduction to SPSS. Appendix G: Codebooks for All Data Sets. Answers to Odd-Numbered End-Of-Chapter Problems and Cumulative Exercises.