Elementary Statistics
Picturing the World
7th Edition
Published on 8. March 2018
Book
Hardback
704 pages
978-0-13-468341-6 (ISBN)
Description
For courses in Introductory Statistics (algebra-based).
Simplifies statistics through practice and real-world applications
Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content for 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, as well as robust technology resources that include StatCrunch (R), a new Tech Tips feature, and an Integrated Review version of the MyLab Statistics course.
Also available with MyLab Statistics
MyLab (TM) Statistics is the teaching and learning platform that empowers instructors 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.
Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Statistics, search for:
0134684907 / 9780134684901 Elementary Statistics: Picturing the World Plus MyLab Statistics - Access Card Package, 7/e
Package consists of:
0134683412 / 978013468341 Elementary Statistics: Picturing the World
013478362X / 9780134783628 MyLab Statistics with Pearson eText - Standalone Access Card - for Elementary Statistics: Picturing the World
Simplifies statistics through practice and real-world applications
Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content for 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, as well as robust technology resources that include StatCrunch (R), a new Tech Tips feature, and an Integrated Review version of the MyLab Statistics course.
Also available with MyLab Statistics
MyLab (TM) Statistics is the teaching and learning platform that empowers instructors 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.
Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Statistics, search for:
0134684907 / 9780134684901 Elementary Statistics: Picturing the World Plus MyLab Statistics - Access Card Package, 7/e
Package consists of:
0134683412 / 978013468341 Elementary Statistics: Picturing the World
013478362X / 9780134783628 MyLab Statistics with Pearson eText - Standalone Access Card - for Elementary Statistics: Picturing the World
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 282 mm
Width: 224 mm
Thickness: 28 mm
Weight
1580 gr
ISBN-13
978-0-13-468341-6 (9780134683416)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
06/2014
6th Edition
Pearson
€236.94
Article exhausted; check different version
Persons
About our authors 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.
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
I. DESCRIPTIVE STATISTICS
Introduction to Statistics
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
Descriptive Statistics
2.1 Frequency Distributions and Their Graphs
2.2 More Graphs and Displays
2.3 Measures of Central Tendency
2.4 Measures of Variation
2.5 Measures of Position
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
Probability
3.1 Basic Concepts of Probability and Counting
3.2 Conditional Probability and the Multiplication Rule
3.3 The Addition Rule
3.4 Additional Topics in Probability and Counting
Discrete Probability Distributions
4.1 Probability Distributions
4.2 Binomial Distributions
4.3 More Discrete Probability Distributions
Normal Probability Distributions
5.1 Introduction to Normal Distributions and the Standard Normal Distribution
5.2 Normal Distributions: Finding Probabilities
5.3 Normal Distributions: Finding Values
5.4 Sampling Distributions and the Central Limit Theorem
5.5 Normal Approximations to Binomial Distributions
III. STATISTICAL INFERENCE
Confidence Intervals
6.1 Confidence Intervals for the Mean (S Known)
6.2 Confidence Intervals for the Mean (S Unknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard Deviation
Hypothesis Testing with One Sample
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean (S Known)
7.3 Hypothesis Testing for the Mean (S Unknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard Deviation
Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions
IV. MORE STATISTICAL INFERENCE
Correlation and Regression
9.1 Correlation
9.2 Linear Regression
9.3 Measures of Regression and Prediction Intervals
9.4 Multiple Regression
Chi-Square Tests and the F-Distribution
10.1 Goodness-of-Fit Test
10.2 Independence
10.3 Comparing Two Variances
10.4 Analysis of Variance
Nonparametric Tests (Web Only)*
11.1 The Sign Test
11.2 The Wilcoxon Tests
11.3 The Kruskal-Wallis Test
11.4 Rank Correlation
11.5 The Runs Test
* Available at www.pearson.com/math-stats-resources and in MyLab Statistics.
APPENDICES
A. Alternative Presentation of the Standard Normal Distribution
B. Tables
C. Normal Probability Plots
Introduction to Statistics
1.1 An Overview of Statistics
1.2 Data Classification
1.3 Data Collection and Experimental Design
Descriptive Statistics
2.1 Frequency Distributions and Their Graphs
2.2 More Graphs and Displays
2.3 Measures of Central Tendency
2.4 Measures of Variation
2.5 Measures of Position
II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
Probability
3.1 Basic Concepts of Probability and Counting
3.2 Conditional Probability and the Multiplication Rule
3.3 The Addition Rule
3.4 Additional Topics in Probability and Counting
Discrete Probability Distributions
4.1 Probability Distributions
4.2 Binomial Distributions
4.3 More Discrete Probability Distributions
Normal Probability Distributions
5.1 Introduction to Normal Distributions and the Standard Normal Distribution
5.2 Normal Distributions: Finding Probabilities
5.3 Normal Distributions: Finding Values
5.4 Sampling Distributions and the Central Limit Theorem
5.5 Normal Approximations to Binomial Distributions
III. STATISTICAL INFERENCE
Confidence Intervals
6.1 Confidence Intervals for the Mean (S Known)
6.2 Confidence Intervals for the Mean (S Unknown)
6.3 Confidence Intervals for Population Proportions
6.4 Confidence Intervals for Variance and Standard Deviation
Hypothesis Testing with One Sample
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean (S Known)
7.3 Hypothesis Testing for the Mean (S Unknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard Deviation
Hypothesis Testing with Two Samples
8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
8.3 Testing the Difference Between Means (Dependent Samples)
8.4 Testing the Difference Between Proportions
IV. MORE STATISTICAL INFERENCE
Correlation and Regression
9.1 Correlation
9.2 Linear Regression
9.3 Measures of Regression and Prediction Intervals
9.4 Multiple Regression
Chi-Square Tests and the F-Distribution
10.1 Goodness-of-Fit Test
10.2 Independence
10.3 Comparing Two Variances
10.4 Analysis of Variance
Nonparametric Tests (Web Only)*
11.1 The Sign Test
11.2 The Wilcoxon Tests
11.3 The Kruskal-Wallis Test
11.4 Rank Correlation
11.5 The Runs Test
* Available at www.pearson.com/math-stats-resources and in MyLab Statistics.
APPENDICES
A. Alternative Presentation of the Standard Normal Distribution
B. Tables
C. Normal Probability Plots