Elementary Statistics

Name: Elementary Statistics | Picturing the World + MyLab Statistics with Pearson eText
Brand: Pearson Education (US)
Price: 389.0 EUR
Availability: BackOrder

Picturing the World + MyLab Statistics with Pearson eText

Ron Larson Betsy Farber(Author)

Pearson Education (US) (Publisher)

7th Edition

Published on 19. January 2018

Book

Mixed media product

978-0-13-468490-1 (ISBN)

€389.00incl. 7% vat

Available (delivery time upon request)

Description

For courses in Introductory Statistics (algebra-based).

This package includes MyLab Statistics.

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 , exercises, as well as robust technology resources that include StatCrunch (R), a new Tech Tips feature, and an Integrated Review version of the MyLab (TM) Statistics course.

Reach every student by pairing this text with MyLab Statistics

MyLab Statistics 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 Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Learn more about MyLab Statistics.

For courses in Introductory Statistics (algebra-based).

This package includes MyLab Statistics.

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 , exercises, as well as robust technology resources that include StatCrunch (R), a new Tech Tips feature, and an Integrated Review version of the MyLab (TM) Statistics course.

Reach every student by pairing this text with MyLab Statistics

MyLab Statistics 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 Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Learn more about MyLab Statistics.

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Persons

Ron Larson received his Ph.D. in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the university. Larson is the lead author of more than two dozen mathematics textbooks that range from 6th grade through calculus levels. Many of his texts, such as the 10th edition of his calculus text, are leaders in their markets. Larson is also one of the pioneers in the use of multimedia and the Internet to enhance the learning of mathematics. He has authored multimedia programs, extending from the elementary school through calculus levels. Larson is a member of several professional groups and is a frequent speaker at national and regional mathematics meetings.

Many thanks to Betsy Farber for her significant contributions to previous editions of the text. Sadly, Betsy passed away in 2013. She received her Bachelor's degree in mathematics from Penn State University and her Master's degree in mathematics from the College of New Jersey. Betsy taught all levels of mathematics at Bucks County Community College in Newtown, Pennsylvania for many years. She made many notable contributions throughout her career to developing new ways to make statistics relevant and interesting for both online and traditional students.

Ron Larson received his Ph.D. in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the university. Larson is the lead author of more than two dozen mathematics textbooks that range from 6th grade through calculus levels. Many of his texts, such as the 10th edition of his calculus text, are leaders in their markets. Larson is also one of the pioneers in the use of multimedia and the Internet to enhance the learning of mathematics. He has authored multimedia programs, extending from the elementary school through calculus levels. Larson is a member of several professional groups and is a frequent speaker at national and regional mathematics meetings.

Many thanks to Betsy Farber for her significant contributions to previous editions of the text. Sadly, Betsy passed away in 2013. She received her Bachelor's degree in mathematics from Penn State University and her Master's degree in mathematics from the College of New Jersey. Betsy taught all levels of mathematics at Bucks County Community College in Newtown, Pennsylvania for many years. She made many notable contributions throughout her career to developing new ways to make statistics relevant and interesting for both online and traditional students.

Content

Table of Contents I. DESCRIPTIVE STATISTICS <ol><li>Introduction to Statistics <ul><li>1.1 An Overview of Statistics</li><li>1.2 Data Classification</li><li>1.3 Data Collection and Experimental Design</li></ul></li><li>Descriptive Statistics <ul><li>2.1 Frequency Distributions and Their Graphs</li><li>2.2 More Graphs and Displays</li><li>2.3 Measures of Central Tendency</li><li>2.4 Measures of Variation</li><li>2.5 Measures of Position</li></ul></li></ol> II. PROBABILITY AND PROBABILITY DISTRIBUTIONS <ol><li>Probability <ul><li>3.1 Basic Concepts of Probability and Counting</li><li>3.2 Conditional Probability and the Multiplication Rule</li><li>3.3 The Addition Rule</li><li>3.4 Additional Topics in Probability and Counting</li></ul></li><li>Discrete Probability Distributions <ul><li>4.1 Probability Distributions</li><li>4.2 Binomial Distributions</li><li>4.3 More Discrete Probability Distributions</li></ul></li><li>Normal Probability Distributions <ul><li>5.1 Introduction to Normal Distributions and the Standard Normal Distribution</li><li>5.2 Normal Distributions: Finding Probabilities</li><li>5.3 Normal Distributions: Finding Values</li><li>5.4 Sampling Distributions and the Central Limit Theorem</li><li>5.5 Normal Approximations to Binomial Distributions</li></ul></li></ol> III. STATISTICAL INFERENCE <ol><li>Confidence Intervals <ul><li>6.1 Confidence Intervals for the Mean (S Known)</li><li>6.2 Confidence Intervals for the Mean (S Unknown)</li><li>6.3 Confidence Intervals for Population Proportions</li><li>6.4 Confidence Intervals for Variance and Standard Deviation</li></ul></li><li>Hypothesis Testing with One Sample <ul><li>7.1 Introduction to Hypothesis Testing</li><li>7.2 Hypothesis Testing for the Mean (S Known)</li><li>7.3 Hypothesis Testing for the Mean (S Unknown)</li><li>7.4 Hypothesis Testing for Proportions</li><li>7.5 Hypothesis Testing for Variance and Standard Deviation</li></ul></li><li>Hypothesis Testing with Two Samples <ul><li>8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)</li><li>8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)</li><li>8.3 Testing the Difference Between Means (Dependent Samples)</li><li>8.4 Testing the Difference Between Proportions</li></ul></li></ol> IV. MORE STATISTICAL INFERENCE <ol><li>Correlation and Regression <ul><li>9.1 Correlation</li><li>9.2 Linear Regression</li><li>9.3 Measures of Regression and Prediction Intervals</li><li>9.4 Multiple Regression</li></ul></li><li>Chi-Square Tests and the F-Distribution <ul><li>10.1 Goodness-of-Fit Test</li><li>10.2 Independence</li><li>10.3 Comparing Two Variances</li><li>10.4 Analysis of Variance</li></ul></li><li>Nonparametric Tests (Web Only)* <ul><li>11.1 The Sign Test</li><li>11.2 The Wilcoxon Tests</li><li>11.3 The Kruskal-Wallis Test</li><li>11.4 Rank Correlation</li><li>11.5 The Runs Test</li></ul></li></ol>

* Available at www.pearson.com/math-stats-resources and in MyLab Statistics.

APPENDICES <ul><li>Appendix A: Alternative Presentation of the Standard Normal Distribution</li><li>Appendix B: Tables</li><li>Appendix C: Normal Probability Plots</li></ul>

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