Addison-Wesley / Prentice Hall

Statistics



Elementary Statistics: Picturing the World, 3/E
Ron Larson
Elizabeth Farber

ISBN-10: 0131483161
ISBN-13: 9780131483163

Publisher: Prentice Hall
Copyright: 2006
Format: Cloth; 736 pp
Published: 01/04/2005

Suggested retail price: $133.33
Not available for purchase at this time.

For algebra-based Introductory Statistics courses.

 

Offering the most accessible approach with a strong visual/graphical emphasis, the text offers a vast number of examples on the premise that students learn best by "doing". The Third Edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking over calculations.

Titled examples paired with unique Try It Yourself problems—Illustrates every concept in the text with one or more step-by-step examples. These examples are numbered and titled for easy reference and are immediately followed with a similar problem.

~Enhances students’ understanding of examples, and then gives them the opportunity to try one themselves right away.

Highly graphical approach—Incorporates more than 750 graphical displays (more than twice as many as most introductory texts).

~Helps students “picture” and understand the story told by the data, and presents corresponding graphs in place to prevent students from having to flip back and forth between pages.

Full-page chapter case study–Includes actual data from a real-world context, along with a series of thought-provoking questions designed to illustrate important concepts of the chapter. Approximately 30% of the chapter case studies have been updated.

~The case studies can be used as a springboard for group or individual projects to encourage critical thinking and classroom discussion.

“Picturing the World” mini case studies–Illustrates the important concept or concepts of each section, and concludes with a question that links to the content.

~Underscores the real-world importance of understanding statistics, and promotes classroom discussion and student projects.

Real Statistics/Real Decisions–Features a full-page, real-life situation accompanied by exercises. Approximately 30% of the Real Statistics/Real Decisions have been updated.

~Prompts students to use the concepts in the chapter to make decisions.

Flexible technology–Allows the text to be used in courses with no more technology than a scientific calculator, or in courses that require frequent use of sophisticated technology tools.  

~Provides students with an understanding of the mathematical concepts behind the instant answer that technology tools provide. Gives instructors the freedom to determine the degree of technological dependency their individual course will require.

~Many sections contain a worked example that shows how technology can be used to calculate formulas, perform tests, or display data.  Screen displays from MINITAB, Excel and the TI-83 are given.

Technology project in each chapter–Approximately 30% of the technology projects have been updated. Each chapter has a full page technology project using tools from MINITAB, Excel and TI-83.

~Gives students additional insight into the way technology is used to handle large data sets or complex, real-life questions. Provides more depth for instructors and students seeking to increase the technology flavor of the course.

Uses and Abuses–Includes a full page in each chapter that summarizes the uses of chapter concepts, as well as a description of common misuses. Each “abuse” is accompanied by one or more exercises. Approximately 30% of the Uses and Abuses have been updated.

Chapter Summary, Review Exercises, and Quiz–Each chapter concludes with a Chapter Summary that answers the question What did you learn?   Also, the chapter summary contains a list of the formulas covered in the chapter.  

~Gives students a convenient study aid and opportunity to test their knowledge of the chapter. 

NEW TO THIS EDITION:

 

Stronger Emphasis upon critical thinking skills — Makes students better problem solvers.

  • “Interpretation” Step within Examples (where appropriate) — Examples conclude with an “Interpretation” step that offers a piece of insight about the example that both facilitates comprehension and prompts further thought.
  • Using and Interpreting ConceptsA new exercise category designed to emphasize critical thinking.

 

Richest Support Package — Promotes Student Success and ease of use.

  • MyMathLab -- Powered by CourseCompass and MathXL, MyMathLab provides a rich and flexible set of course materials for the Larson/Farber textbook, along with course management tools that make it easy to customize an online course. MyMathLab includes tutorials, a multimedia textbook, online gradebook, and assessment capabilities, along with an online Student Solutions Manual, Pearson Tutor Center, technology manual and video lectures.

o        Chapter Demo available January 2005

o        Course available for first usage for Fall 2005.

  • Student Study Pack — Includes SSM, Chapter Quiz Prep Video on CD, Technology Manual (including PHStat), CD Lecture Series, and access to Tutor Center. The Technology Manual provides coverage of Excel, MINITAB v. 14 and TI-83.
  • Instructor-to-Instructor Video on CD — Contained within the AIE and also offered through MML.  Video provides coverage of 14 topics (i.e. conditional probabilities, central limit theorem, hypothesis tests).  Ideas and suggestions on how to present and explain these concepts.

o        Useful for adjuncts and new instructors.

  • Chapter Quiz Prep Videos — Contained on a CD within student text and the Student Study Pack.  Also offered through MML.  Video of an instructor walking through and solving the end of chapter quizzes.

o        Helps students study and prepare for exams.

 

20% REVISED exercises [over 1900 exercises] and 20% NEW exercises [over 660] — Increased breadth and depth of exercises.

~Gives instructors a wide variety of problems to assign and shows students a diverse range of interesting real-life applications.

~Divides exercises into three different types. Using and Interpreting Concepts is a new exercise category:

-Building Basic Skills and Vocabulary—Short answer, true and false, or vocabulary exercises.

-Using and Interpreting Concepts—Skill or word problems that emphasize critical thinking. [New exercise type] 

-Extending Concepts–More challenging exercises that go beyond the material presented in the section.

 

Updated Chapter Openers (Ch. 6—9)Begins each chapter with a two-page visual description of a real-life problem that is revisited in the chapter.

~Shows students how the chapter fits into the bigger picture of statistics by connecting it to topics learned in earlier chapters, and then gives them an overview of the chapter in the context of the real world data presented.

 

Chapter specific changes:

~Chapter 4: Additional exercises place more emphasis on mean and standard deviation of binomial distributions. Also, more emphasis was placed on identification of unusual values within this distribution.

~Chapter 5: Two sections have been combined to form section 5.1 Introduction to Normal Distributions and the Standard Normal Distribution. This section replaces Section 5.1 Introduction to Normal Distributions and Section 5.2 The Standard Normal Distribution in the Second Edition. The Empirical Rule has been covered in Ch. 2, so there is no need for it in Ch. 5. In section 5.4, Sampling Distributions and the Central Limit Theorem, more emphasis is placed on identifying unusual values with sampling distributions.

~Chapter 7: More emphasis has been placed on the logic behind the hypothesis testing process and interpreting the decision.

~Chapter 9: For instructors who prefer to cover section 9.1 Correlation,  immediately after covering graphing paired data in Ch. 2, the authors present a method for testing a population correlation coefficient that does not involve hypothesis testing. The method is simple and can easily be covered after Ch's 1 and 2.

~Chapter 11: A new section has been added--Section 11.5 Runs Test. This section provides students with a method - a nonparametric test called the Runs Test - for testing randomness in a set of data.

 

Round off rules have been included in Study Tips at point of use.

 

 

(NOTE: Each chapter begins with Where You’ve Been and Where Your Going sections and concludes with Uses and Abuses, Chapter Summary, Review Exercises, Chapter Quiz, Real Statistics-Real Decisions–Putting it all Together, and Technology sections.)


1. Introduction to Statistics.

An Overview of Statistics. Data Classification. Case Study: Rating Television Shows in the United States. Experimental Design.

 

2. Descriptive Statistics.

Frequency Distributions and Their Graphs. More Graphs and Displays. Measures of Central Tendency. Measures of Variation. Case Study: Sunglass Sales in the United States. Measures of Position.

 

3. Probability.

Basic Concepts of Probability. Conditional Probability and the Multiplication Rule. The Addition Rule. Case Study: Probability and Parking Lot Strategies. Counting Principles.

 

4. Discrete Probability Distributions.

Probability Distributions. Binomial Distributions. Case Study: Binomial Distribution of Airplane Accidents. More Discrete Probability Distributions.

 

5. Normal Probability Distributions.

Introduction to Normal Distributions and the Standard Normal Distribution. Normal Distributions: Finding Probabilities. Normal Distributions: Finding Values.

Case Study: Birth Weights in America. The Central Limit Theorem. Normal Approximations to Binomial Distributions.

 

6. Confidence Intervals.

Confidence Intervals for the Mean (Large Samples). Case Study: Shell Lengths of Loggerhead Sea Turtles. Confidence Intervals for the Mean (Small Samples). Confidence Intervals for Population Proportions. Confidence Intervals for Variance and Standard Deviation.

 

7. Hypothesis Testing with One Sample continue 2e p-value approach.

Introduction to Hypothesis Testing. Hypothesis Testing for the Mean (Large Samples). Case Study: Human Body Temperature: What's Normal? Hypothesis Testing for the Mean (Small Samples). Hypothesis Testing for Proportions. Hypothesis Testing for the Variance and Standard Deviation.

 

8. Hypothesis Testing with Two Samples.

Testing the Difference Between Means (Large Independent Samples). Case Study: Oatbran and Cholesterol Level. Testing the Difference Between Means (Small Independent Samples). Testing the Difference Between Means (Dependent Samples). Testing the Difference Between Proportions.

 

9. Correlation and Regression.

Correlation. Linear Regression. Case Study: Correlation of Body Measurements. Measures of Regression and Prediction Intervals. Multiple Regression.

 

10. Chi-Square Tests and the F-Distribution.

Goodness of Fit. Independence. Case Study: Traffic Safety Facts. Comparing Two Variances. Analysis of Variance.

 

11. Nonparametric Tests.

The Sign Test. The Wilcoxon Tests. Case Study: Health and Nutrition. The Kruskal-Wallis Test. Rank Correlation. Runs Test.

 

Appendix A.

Alternative Presentation of the Standard Normal Distribution. Standard Normal Distribution Table (0-to-z). Alternate Presentation of the Standard Normal Distribution.

 

Appendix B.

Tables.

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For Introductory Statistics - Algebra-Based


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