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Understandable Statistics, 13th Edition

Charles Henry Brase, Corrinne Pellillo Brase, Jason Mark Dolor, James Allen Seibert

  • Copyright 2023
  • {{checkPublicationMessage('Published', '2022-03-10T00:00:00+0000')}}
Starting At $77.95 See pricing and ISBN options
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Understandable Statistics 13th Edition by Charles Henry Brase/Corrinne Pellillo Brase/Jason Mark Dolor/James Allen Seibert
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Overview

Guide students in overcoming apprehension and mastering statistics with Brase/Brase/Dolor/Seibert's UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while emphasizing the connection between statistics and today's world. Current, real data is drawn from journals, periodicals and news sources. Updated learning features and exercises strengthen critical thinking and statistical literacy. This edition emphasizes the P-value method of hypothesis testing and offers optional coverage of graphing calculators, Excel\u00AE, Minitab\u00AE and other statistical software. An easy-to-use, integrated Statistical Analysis and Learning Tool (SALT) shows students how to manipulate data sets and better understand the meaning behind data. In addition, WebAssign's course management system includes news videos, interactive visual data, online stats labs and open response concept questions to further engage students in statistics.

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Meet the Authors

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Charles Henry Brase

Charles Brase has more than 30 years of full-time teaching experience in mathematics and statistics. He taught at the University of Hawaii, Manoa Campus, for several years and at Regis University in Denver, Colorado, for more than 28 years. Dr. Brase received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year award from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and he holds a Ph.D. and an M.A. in mathematics and a B.A. in physics.

Corrinne Pellillo Brase

Corrinne Pellillo Brase has taught at Hawaii Pacific College; Honolulu Community College; and Arapahoe Community College in Littleton, Colorado. She was also involved in the mathematics component of an equal opportunity program at the University of Colorado. Professor Brase received the Faculty of the Year award from Arapahoe Community College. She earned her degrees from the University of Colorado, Boulder, and she holds an M.A. and a B.A. in mathematics.

Jason Mark Dolor

Jason Dolor has more than 16 years of teaching experience in mathematics and statistics. He taught briefly at the University of Guam and has been serving as a teacher and researcher at Portland State University and the University of Portland for the last 15 years. Dr. Dolor regularly publishes his work in research journals. He also presents his work in statistical thinking, teacher knowledge, educational technology, curriculum development and assessment at various education conferences. Dr. Dolor earned his B.S. in computer science from the University of Portland, a graduate certificate in applied statistics, an M.S. in mathematics and a Ph.D. in mathematics education from Portland State University.

James Allen Seibert

James Seibert has more than 20 years of full-time teaching experience in mathematics and statistics. He taught briefly at Colorado State University and Willamette University, and currently teaches at Regis University in Denver, Colorado, where he has been a professor for the last 21 years. Dr. Seibert was mentored at Regis by Dr. Charles Brase, and remained life-long friends with Dr. and Ms. Brase. Dr. Seibert earned his B.A. in mathematics with minors in physics and philosophy from Linfield College and his M.A. and Ph.D. in mathematics from Colorado State University.

What's New

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  • REVISIONS AND EDITS EMBRACE DIVERSITY AND INCLUSIVENESS. Readers find an increase of diversity reflected in current, relevant examples and the use of names drawn from a greater number of cultures. Content does not assume gender to be binary. In addition, the authors have removed extraneous references to non-pertinent biographical information in order to focus exclusively on the statistical concepts.
  • NEW EXAMPLES AND EXERCISES DEMONSTRATE THE CURRENT IMPORTANCE AND IMPACT OF STATISTICS. Numerous new examples and exercises written for this edition reflect the latest developments and issues in today's times. The authors have rewritten outdated exercises and placed new examples within modern contexts to show how statistics impact today's world.
  • ADDITIONAL CODED EXERCISES AND NEW SIMULATIONS PROVIDE CRITICAL PRACTICE. This edition offers even more coded exercises to support the explanations with hands-on application. In addition, new interactive simulations allow your students to engage deeply with statistical concepts.
  • UPDATED "USING TECHNOLOGY" INSTRUCTIONS ACCOMPANY THE STATISTICAL ANALYSIS AND LEARNING TOOL (SALT). All of this edition's instructions and guides for using technology are revised to incorporate the latest software advancements and the most recent version of SALT.
  • WRITTEN TEXT NOW THOROUGHLY INTEGRATES SALT. This edition helps you transform students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). This easy-to-use data analysis tool, developed specifically for introductory-level students, helps students visualize statistics and gain a conceptual understanding of the meaning behind data as they manipulate data sets. SALT is integrated into the text's presentation, exercises and WebAssign online resources, and it works seamlessly to support this edition.
  • UPDATED ACTIVITIES SUPPORT TODAY'S STATISTICAL CONCEPTS. Revised and updated Critical Thinking and Viewpoint activities reinforce your students' understanding and application of important statistical concepts.
  • UPDATED "CRITICAL THINKING" LEARNING FEATURES CLARIFY SPECIFIC STATISTICAL CONCEPTS. These updated features now include hands-on learning activities, including several simulations, you can use to supplement your students' understanding and practice. You can use these materials to guide your students in studying statistical concepts at a deeper level.
  • UPDATED "VIEWPOINT'" ACTIVITIES EXPLORE ACTUAL DATA SETS IN TODAY'S REAL LIFE. These activities demonstrate how statistical data sets are relevant in the real world. These activities also include thought-provoking questions you can use to prompt meaningful discussion and exploration of data and statistical methods. Information for accessing each data set is provided in the activity.

Features

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  • THIS EDITION'S WEBASSIGN WITH COREQUISITE SUPPORT AND THE STATISTICAL ANALYSIS AND LEARNING TOOL (SALT). MATCHES ANY COREQUISITE MODEL. These powerful online tools through WebAssign digital resources provide the flexibility to match any corequisite implementation model. These tools empower you to deliver high quality content at the right time for your students at an affordable price.
  • EXTENSIVE TECHNOLOGY AND TEACHING RESOURCES SUPPORT YOUR CLASSROOM PRESENTATION. This comprehensive support package includes everything you need for a successful course, including separate technology guides for the Texas Instrument graphing calculators, Minitab® software, Microsoft® Excel®, and SPSS® Statistics software technology tools. WebAssign online course management resources with Statistical Analysis and Learning Tool (SALT) is available. An eTextbook, digital test bank, Instructor's manual, PowerPoint® slides, instructor's website and solution guides are also available to save grading and class preparation time.
  • CHAPTER SECTIONS ARE DIVIDED INTO TWO PARTS TO ASSIST IN STUDENT COMPREHENSION. Content sections within most chapter are divided into two parts to guide students in learning. Each part includes a brief summary and a list of chapter problems relevant to that part. The parts also provide a mid-chapter pause for review and offer you additional flexibility in organizing your course content.
  • THE STATISTICAL ANALYSIS AND LEARNING TOOL (SALT) GUIDES STUDENTS IN BECOMING STATISTICAL THINKERS. This easy-to-use data analysis tool was designed specifically for introductory-level students. The tool uses dynamic graphics and shows students how to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding of the meaning behind data. Built by Cengage, SALT is integrated into WebAssign for Statistics course content or is available for use as a standalone resource.
  • STATISTICAL ANALYSIS AND LEARNING TOOL (SALT) IS THOROUGHLY INTEGRATED INTO THE TEXT. This edition incorporates SALT into the "Using Technology" sections. In addition, it is specifically created as part of the hands-on exercises to leverage its capabilities.
  • CONTENT FROM FORMER "EXPAND YOUR KNOWLEDGE" IS SEAMLESSLY WOVEN INTO THE TEXT'S PRIMARY PRESENTATION. In order to create a unified and easily understood presentation, this edition retains important content from former "Expand Your Knowledge" problem sections in the main text presentation. In addition, all exercises focus only on topics covered in this edition's narrative for a cohesive learning experience.
  • WEBASSIGN FOR UNDERSTANDABLE STATISTICS IS A FLEXIBLE, FULLY CUSTOMIZABLE ONLINE COURSE MANAGEMENT SOLUTION THAT PUTS POWERFUL TOOLS IN YOUR HANDS. With WebAssign, you can easily deploy assignments, instantly assess individual student and class performance and help students master the course concepts. With WebAssign’s powerful digital platform and Understandable Statistics specific content, you can also tailor your course with a wide range of assignment settings, add your own questions and content and access student and course analytics and communication tools.
  • NUMEROUS LEARNING FEATURES EMPHASIZE THE IMPORTANCE AND RELEVANCE OF STATISTICS. Learning features preview upcoming topics and emphasize their importance or prompt students to interpret results within context. Other features emphasize statistical terms, methods and processes. Writing projects guide students in expressing their understanding in words, while summaries and cumulative review features assist in study and place the information students have learned in a meaningful context. Step-by-step solutions also provide immediate reinforcement.

Table of Contents

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1. Getting Started.
Introduces the subject, presents random samples and an introduction to experimental design.
2. Organizing Data.
Histograms, graphs, stem-and l-leaf displays.
3. Averages and Variation.
4. Elementary Probability Theory.
5. The Binomial Probability Distribution and Related Topics.
6. Normal Curves and Sampling Distributions.
Part I: Normal Distributions.
Part II: Sampling Distributions and the Normal Approximation to Binomial Distribution.
7. Estimation.
Part I: Estimating a Single Mean or Single Proportion.
Part II: Estimating the Difference Between Two Means or Two Proportions.
8. Hypothesis Testing.
Part I: Testing a Single Mean or Single Proportion.
Part II: Testing a Difference Between Two Means or Two Proportions.
9. Correlation and Regression.
Part I: Simple Linear Regression.
Part II: Multiple Regression.
10. Chi-Square and F Distributions.
Part I: Inferences Using the Chi-Square Distribution.
Part II: Inferences Using the F Distribution.
11. Nonparametric Statistics.
Appendix includes brief discussion of Bayes' Theorem and Hypergeometric Distribution.

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Each WebAssign online product offers the full textbook combined with a flexible and fully customizable online instructional assignments and tools.

Cengage provides a seamless user experience for Learning Management Systems (LMS) integration. Please contact your Cengage Learning Consultant for ordering information and visit our Learning Management System Integration web page on WebAssign for general information.

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  • ISBN-10: 0357719190
  • ISBN-13: 9780357719190
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  • ISBN-10: 0357719301
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  • ISBN-13: 9780357719220
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  • ISBN-10: 0357719174
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Supplements

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Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

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eBook for Understandable Statistics

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eBook for Understandable Statistics