Elementary Statistics: Picturing the World (7版)

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書名：Elementary Statistics: Picturing the World 7/e 作者：Ron Larson 出版社：Pearson 出版日期：2019/00/00 ISBN：9781292260464 內容簡介 For courses in Introductory Statistics (algebra-based). Describing the world through statistics Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content to each page to make the material more digestible. The text’s combination of theory, pedagogy, and design helps students understand concepts and use statistics to describe and think about the world. The 7th Edition incorporates a thorough update of key features, examples, and exercises. MyLab™ Statistics is not included. Students, if MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Reach every student by pairing this text with MyLab Statistics MyLab™ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. 目錄 I. DESCRIPTIVE STATISTICS 1. Introduction to Statistics 2. Descriptive Statistics II. PROBABILITY AND PROBABILITY DISTRIBUTIONS 3. Probability 4. Discrete Probability Distributions 5. Normal Probability Distributions III. STATISTICAL INFERENCE 6. Confidence Intervals 7. Hypothesis Testing with One Sample IV. MORE STATISTICAL INFERENCE 9. Correlation and Regression 10. Chi-Square Tests and the F -Distribution 11. Nonparametric Tests (Web Only)* APPENDICES Appendix A: Alternative Presentation of the Standard Normal Distribution Appendix B: Tables

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

Elementary Statistics: A Step by Step Approach A Brief Version (2022 Revised Edition) (1版)

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Elementary Statistics: A Step by Step Approach A Brief Version (2022 Revised Edition) 作者：Allan Bluman ISBN：9789869614160 版次：1 年份：2019 出版商：McGraw-Hill 頁數/規格：752頁/平裝彩色 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: Chi-Square and Analysis of Variance (ANOVA) Appendix A: Tables Appendix B: Data Bank Appendix C: Glossary Appendix D: Selected Answers

Elementary Statistics in Social Research 社會統計學 (雙語版) An Adapted Version (12版)

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書名：Elementary Statistics in Social Research 社會統計學 (雙語版) An Adapted Version 12/E 作者：Levin/Fox/Forde 出版社：Pearson 出版日期：2015/07/00 ISBN：9789862802984 內容簡介 Provides an understanding of statistics in the social sciences. This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. The twelfth edition of Elementary Statistics in Social Research is written to be understandable to all readers, particularly those without a strong background in mathematics. This text is available in a variety of formats – digital and print. Pearson offers its titles on the devices students love through Pearson’s MyLab products, CourseSmart, Amazon, and more. To learn more about our programs, pricing options and customization, click the Choices tab. Learning Goals Upon completing this book, readers will be able to: Develop an understanding of the importance of statistics in the social sciences. Features Accommodates students – Written to be understandable to a broad range of students, particularly those without a strong background in mathematics. Illustrations – Detailed step-by-step illustrations of statistical procedures are located at important points throughout the text. Clear, logical explanations – Explanations that give the rationale and use of statistical methods in social research. “Looking at the Larger Picture” boxes – This feature helps deepen student understanding of statistical methods. Alternative and group formulas – As well as some non-parametric tests. Supports use of SPSS – Includes SPSS problem sets at the end of chapters and an Introduction to SPSS in an appendix. 目錄