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Understandable Statistics: concepts and methods
Brase, Charles Henry
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UNDERSTANDABLE STATISTICS, 9e, International Edition is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide guidance and informal advice, while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources including journals, periodicals, newspapers, and the Internet. The Ninth Edition addresses the growing importance of developing students’ critical thinking and statistical literacy skills through the introduction of new features and exercises throughout the text. Extensive technology resources include a new algorithmic test bank and lecture slides, along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required.
Features
Updated! Technology-related examples include instruction appropriate for the latest versions of Minitab, SPSS, and Excel. Denoted by icons in the text, Tech Notes! provide best practices and accompanying screen shots for students using these programs.
Updated! Real-world applications have been updated throughout the text to include new examples from a variety of disciplines.
Revised! Notation in probability and linear regression and binomial distribution has been revised throughout.
Note: Each chapter concludes with a Summary, Important Words & Symbols, Chapter Review Problems, Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material.
1. GETTING STARTED.
Focus Problem: Where Have All the Fireflies Gone?. What Is Statistics. Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA.
Focus Problem: Say It with Pictures. Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION.
Focus Problem: The Educational Advantage. Measures of Central Tendency: Mode, Mediate, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots. Cumulative Review Problems: Chapters 1-3.
4. ELEMENTARY PROBABILITY THEORY.
Focus Problem: How Often Do Lie Detectors Lie? What Is Probability? Some Probability Rules—Compound Events. Trees and Counting Techniques.
5. THE BINOMIAL PROBABILITY DISTRIBUTION AND RELATED TOPICS.
Focus Problem: Personality Preference Types: Introvert or Extrovert? Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Proprieties of the Binomial Distribution. The Geometric and Poisson Probability Distributions.
6. NORMAL DISTRIBUTIONS.
Focus Problem: Large Auditorium Shows: How Many Will Attend?. Graphs of Normal Probability Distributions. Standard Units and Areas Under the Standard Normal Distribution. Areas Under Any Normal Curve. Normal Approximation to the Binomial Distribution. Cumulative Review Problems: Chapters 4-6.
7. INTRODUCTION TO SAMPLING DISTRIBUTIONS.
Focus Problem: Impulse Buying. Sampling Distributions. The Central Limit Theorem. Sampling Distributions for Proportions.
8. ESTIMATION.
Focus Problem: The Trouble with Wood Ducks. Estimating µ When s Is Known. Estimating µ When s Is Unknown. Estimating p in the Binomial Distribution. Estimating µ1-µ2 and p1-p2. Cumulative Review Problems: Chapters 7-9.
9. HYPOTHESIS TESTING.
Focus Problem: Benford’s Law: The Importance of Being Number 1. Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p. Tests Involving Paired Differences (Dependent Samples). Testing µ1-µ2 and p1-p2 (Independent Samples).
10. CORRELATION AND REGRESSION.
Focus Problem: Changing Populations and Crime Rate. Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination. Inferences for Correlation and Regression. Multiple Regression.
11. CHI-SQUARE AND F DISTRIBUTIONS.
Focus Problem: Archaeology in Bandelier National Monument. Part I: Inferences Using the Chi-Square Distribution. Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing and Estimating a Single Variance or Standard Deviation. Part II: Inferences Using the F Distribution. Testing Two Variances. One-Way ANOVA: Comparing Several Sample Means. Introduction to Two-Way ANOVA.
12. NONPARAMETRIC STATISTICS.
Focus Problem: How Cold? Compared to What? The Sign Test for Matched Pairs. The Rank-Sum Test. Spearman Rank Correlation. Runs Test for Randomness.
Cumulative Review Problems: Chapters 10-12.
Appendix I: Additional Topics.
Part I: Bayes’s Theorem. Part II: The Hypergeometric Probability Distribution.
Appendix II: Tables.
Table 1: Random Numbers. Table 2: Binomial Coefficients. Table 3: Binomial Probaility Distribution. Table 4: Poisson Probability Distribution. Table 5: Areas of a Standard Normal Distribution. Table 6: Critical Values for Student’s t Distribution. Table 7: The X2 Distribution. Table 8: Critical Values for F Distribution. Table 9: Critical Values for Spearman Rank Correlation. Table 10: Critical Values for Number of Runs R.
New! The Critical Thinking feature provides additional clarification on specific concepts, such as what tests are appropriate for what situations, what assumptions need to be made, what biases may affect the results, and when conclusions are justified.New! The Interpretation feature prompts students to interpret their results in the context of a particular application.New! Critical Thinking exercises and chapter review problems test students’’ understanding of statistical methods and ability to interpret their results.New! Statistical Literacy Problems in every section and problem set test understanding of terminology, statistical methods, and the appropriate conditions for use of the different processes. Writing Projects test both statistical literacy and critical thinking by asking students to express their understanding in words.New! Chapter summaries now appear as bulleted lists for quick reference, while other hallmark features—such as Guided Exercises and Procedures—help students prepare for each section and check their understanding along the way.
{Supplements}
{Quotes}
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. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.
Corrinne Pellillo Brase
Corrinne 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. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.
HomeInstructors
New TitlesGeneral Chemistry TextbookPhysics for the Life Sciences TextbookOrder Inspection CopiesOnline ResourcesRep locatorStudents
Online Student ResourcesBookshopsAuthors
Review processProposal guidelinesUnited KingdomChange your regionSearch Go
AccountingBusiness & TechnologyBusiness CommunicationBusiness EducationBusiness LawBusiness MathematicsBusiness StatisticsCareer Investigation & ReadinessCertificationCommunicationsComputer ApplicationsComputer EducationDecision SciencesEconomicsFinanceIntroduction to BusinessManagementMarketingOffice TechnologyReal EstateReferenceTaxationTechnologyAnthropologyArtCommunication and MediaCounselling/PsychotherapyCriminal JusticeDevelopmental EnglishEnglishEnglish as a Second LanguageFrenchGermanHistoryHuman ServicesItalianModern LanguageMusicPhilosophyPolitical SciencePsychologyReligionSocial WorkSociologySpanishAstronomyChemistryEarth ScienceEngineeringHealthLife SciencesMathematicsNutritionOceanographyPhysicsAssessment, Training, and ProjectsComputer ConceptsComputer ScienceDatabasesGame Design & DevelopmentGraphic CommunicationsHelp Desk/Desktop SupportInternetMedia Arts & DesignMISMusic TechnologyNetworking & SecurityOffice SuitesOperating SystemsPC Repair/A+Presentation ToolsProgrammingProject ManagementSoft SkillsSpreadsheetsWeb Design & DevelopmentWord ProcessingAgriscienceAutomotive and MechanicsAviationCatering and HospitalityCollege SuccessEducationElectronics and EngineeringHair & BeautyLeisure and ToursimNursing, Medical and DentistryPhotography, Multimedia and DesignProfessional Development and Study SkillsTradesCengage Learning EMEAEnglish Language TeachingGlobalHigher EducationLibrary & ReferenceAbout UsCopyright, Terms & ConditionsPrivacy PolicyContact UsCareersWebsite Design by Mulberry Interactive Ltd |
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UNDERSTANDABLE STATISTICS, 9e, International Edition is a thorough, yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide guidance and informal advice, while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources including journals, periodicals, newspapers, and the Internet. The Ninth Edition addresses the growing importance of developing students’ critical thinking and statistical literacy skills through the introduction of new features and exercises throughout the text. Extensive technology resources include a new algorithmic test bank and lecture slides, along with a market-leading DVD series and other resources designed to provide reinforcement for students and support for instructors. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required.
Features
Updated! Technology-related examples include instruction appropriate for the latest versions of Minitab, SPSS, and Excel. Denoted by icons in the text, Tech Notes! provide best practices and accompanying screen shots for students using these programs.
Updated! Real-world applications have been updated throughout the text to include new examples from a variety of disciplines.
Revised! Notation in probability and linear regression and binomial distribution has been revised throughout.
Note: Each chapter concludes with a Summary, Important Words & Symbols, Chapter Review Problems, Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material.
1. GETTING STARTED.
Focus Problem: Where Have All the Fireflies Gone?. What Is Statistics. Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA.
Focus Problem: Say It with Pictures. Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION.
Focus Problem: The Educational Advantage. Measures of Central Tendency: Mode, Mediate, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots. Cumulative Review Problems: Chapters 1-3.
4. ELEMENTARY PROBABILITY THEORY.
Focus Problem: How Often Do Lie Detectors Lie? What Is Probability? Some Probability Rules—Compound Events. Trees and Counting Techniques.
5. THE BINOMIAL PROBABILITY DISTRIBUTION AND RELATED TOPICS.
Focus Problem: Personality Preference Types: Introvert or Extrovert? Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Proprieties of the Binomial Distribution. The Geometric and Poisson Probability Distributions.
6. NORMAL DISTRIBUTIONS.
Focus Problem: Large Auditorium Shows: How Many Will Attend?. Graphs of Normal Probability Distributions. Standard Units and Areas Under the Standard Normal Distribution. Areas Under Any Normal Curve. Normal Approximation to the Binomial Distribution. Cumulative Review Problems: Chapters 4-6.
7. INTRODUCTION TO SAMPLING DISTRIBUTIONS.
Focus Problem: Impulse Buying. Sampling Distributions. The Central Limit Theorem. Sampling Distributions for Proportions.
8. ESTIMATION.
Focus Problem: The Trouble with Wood Ducks. Estimating µ When s Is Known. Estimating µ When s Is Unknown. Estimating p in the Binomial Distribution. Estimating µ1-µ2 and p1-p2. Cumulative Review Problems: Chapters 7-9.
9. HYPOTHESIS TESTING.
Focus Problem: Benford’s Law: The Importance of Being Number 1. Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p. Tests Involving Paired Differences (Dependent Samples). Testing µ1-µ2 and p1-p2 (Independent Samples).
10. CORRELATION AND REGRESSION.
Focus Problem: Changing Populations and Crime Rate. Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination. Inferences for Correlation and Regression. Multiple Regression.
11. CHI-SQUARE AND F DISTRIBUTIONS.
Focus Problem: Archaeology in Bandelier National Monument. Part I: Inferences Using the Chi-Square Distribution. Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing and Estimating a Single Variance or Standard Deviation. Part II: Inferences Using the F Distribution. Testing Two Variances. One-Way ANOVA: Comparing Several Sample Means. Introduction to Two-Way ANOVA.
12. NONPARAMETRIC STATISTICS.
Focus Problem: How Cold? Compared to What? The Sign Test for Matched Pairs. The Rank-Sum Test. Spearman Rank Correlation. Runs Test for Randomness.
Cumulative Review Problems: Chapters 10-12.
Appendix I: Additional Topics.
Part I: Bayes’s Theorem. Part II: The Hypergeometric Probability Distribution.
Appendix II: Tables.
Table 1: Random Numbers. Table 2: Binomial Coefficients. Table 3: Binomial Probaility Distribution. Table 4: Poisson Probability Distribution. Table 5: Areas of a Standard Normal Distribution. Table 6: Critical Values for Student’s t Distribution. Table 7: The X2 Distribution. Table 8: Critical Values for F Distribution. Table 9: Critical Values for Spearman Rank Correlation. Table 10: Critical Values for Number of Runs R.
New! The Critical Thinking feature provides additional clarification on specific concepts, such as what tests are appropriate for what situations, what assumptions need to be made, what biases may affect the results, and when conclusions are justified.New! The Interpretation feature prompts students to interpret their results in the context of a particular application.New! Critical Thinking exercises and chapter review problems test students’’ understanding of statistical methods and ability to interpret their results.New! Statistical Literacy Problems in every section and problem set test understanding of terminology, statistical methods, and the appropriate conditions for use of the different processes. Writing Projects test both statistical literacy and critical thinking by asking students to express their understanding in words.New! Chapter summaries now appear as bulleted lists for quick reference, while other hallmark features—such as Guided Exercises and Procedures—help students prepare for each section and check their understanding along the way.
{Supplements}
{Quotes}
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. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.
Corrinne Pellillo Brase
Corrinne 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. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.
HomeInstructors
New TitlesGeneral Chemistry TextbookPhysics for the Life Sciences TextbookOrder Inspection CopiesOnline ResourcesRep locatorStudents
Online Student ResourcesBookshopsAuthors
Review processProposal guidelinesUnited KingdomChange your regionSearch Go
AccountingBusiness & TechnologyBusiness CommunicationBusiness EducationBusiness LawBusiness MathematicsBusiness StatisticsCareer Investigation & ReadinessCertificationCommunicationsComputer ApplicationsComputer EducationDecision Note: Each chapter concludes with a Summary, Important Words & Symbols, Chapter Review Problems, Data Highlights: Group Projects, Linking Concepts: Writing Projects, and Using Technology.
Table of Prerequisite Material.
1. GETTING STARTED.
Focus Problem: Where Have All the Fireflies Gone?. What Is Statistics. Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA.
Focus Problem: Say It with Pictures. Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION.
Focus Problem: The Educational Advantage. Measures of Central Tendency: Mode, Mediate, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots. Cumulative Review Problems: Chapters 1-3.
4. ELEMENTARY PROBABILITY THEORY.
Focus Problem: How Often Do Lie Detectors Lie? What Is Probability? Some Probability Rules—Compound Events. Trees and Counting Techniques.
5. THE BINOMIAL PROBABILITY DISTRIBUTION AND RELATED TOPICS.
Focus Problem: Personality Preference Types: Introvert or Extrovert? Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Proprieties of the Binomial Distribution. The Geometric and Poisson Probability Distributions.
6. NORMAL DISTRIBUTIONS.
Focus Problem: Large Auditorium Shows: How Many Will Attend?. Graphs of Normal Probability Distributions. Standard Units and Areas Under the Standard Normal Distribution. Areas Under Any Normal Curve. Normal Approximation to the Binomial Distribution. Cumulative Review Problems: Chapters 4-6.
7. INTRODUCTION TO SAMPLING DISTRIBUTIONS.
Focus Problem: Impulse Buying. Sampling Distributions. The Central Limit Theorem. Sampling Distributions for Proportions.
8. ESTIMATION.
Focus Problem: The Trouble with Wood Ducks. Estimating µ When s Is Known. Estimating µ When s Is Unknown. Estimating p in the Binomial Distribution. Estimating µ1-µ2 and p1-p2. Cumulative Review Problems: Chapters 7-9.
9. HYPOTHESIS TESTING.
Focus Problem: Benford’s Law: The Importance of Being Number 1. Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p. Tests Involving Paired Differences (Dependent Samples). Testing µ1-µ2 and p1-p2 (Independent Samples).
10. CORRELATION AND REGRESSION.
Focus Problem: Changing Populations and Crime Rate. Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination. Inferences for Correlation and Regression. Multiple Regression.
11. CHI-SQUARE AND F DISTRIBUTIONS.
Focus Problem: Archaeology in Bandelier National Monument. Part I: Inferences Using the Chi-Square Distribution. Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing and Estimating a Single Variance or Standard Deviation. Part II: Inferences Using the F Distribution. Testing Two Variances. One-Way ANOVA: Comparing Several Sample Means. Introduction to Two-Way ANOVA.
12. NONPARAMETRIC STATISTICS.
Focus Problem: How Cold? Compared to What? The Sign Test for Matched Pairs. The Rank-Sum Test. Spearman Rank Correlation. Runs Test for Randomness.
Cumulative Review Problems: Chapters 10-12.
Appendix I: Additional Topics.
Part I: Bayes’s Theorem. Part II: The Hypergeometric Probability Distribution.
Appendix II: Tables.
Table 1: Random Numbers. Table 2: Binomial Coefficients. Table 3: Binomial Probaility Distribution. Table 4: Poisson Probability Distribution. Table 5: Areas of a Standard Normal Distribution. Table 6: Critical Values for Student’s t Distribution. Table 7: The X2 Distribution. Table 8: Critical Values for F Distribution. Table 9: Critical Values for Spearman Rank Correlation. Table 10: Critical Values for Number of Runs R.
New! The Critical Thinking feature provides additional clarification on specific concepts, such as what tests are appropriate for what situations, what assumptions need to be made, what biases may affect the results, and when conclusions are justified.New! The Interpretation feature prompts students to interpret their results in the context of a particular application.New! Critical Thinking exercises and chapter review problems test students’’ understanding of statistical methods and ability to interpret their results.New! Statistical Literacy Problems in every section and problem set test understanding of terminology, statistical methods, and the appropriate conditions for use of the different processes. Writing Projects test both statistical literacy and critical thinking by asking students to express their understanding in words.New! Chapter summaries now appear as bulleted lists for quick reference, while other hallmark features—such as Guided Exercises and Procedures—help students prepare for each section and check their understanding along the way.
{Supplements}
{Quotes}
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. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.
Corrinne Pellillo Brase
Corrinne 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. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.
HomeInstructors
New TitlesGeneral Chemistry TextbookPhysics for the Life Sciences TextbookOrder Inspection CopiesOnline ResourcesRep locatorStudents
Online Student ResourcesBookshopsAuthors
Review processProposal guidelinesUnited KingdomChange your regionSearch Go
AccountingBusiness & TechnologyBusiness CommunicationBusiness EducationBusiness LawBusiness MathematicsBusiness StatisticsCareer Investigation & ReadinessCertificationCommunicationsComputer ApplicationsComputer EducationDecision SciencesEconomicsFinanceIntroduction to BusinessManagementMarketingOffice TechnologyReal EstateReferenceTaxationTechnologyAnthropologyArtCommunication and MediaCounselling/PsychotherapyCriminal JusticeDevelopmental EnglishEnglishEnglish as a Second LanguageFrenchGermanHistoryHuman ServicesItalianModern LanguageMusicPhilosophyPolitical SciencePsychologyReligionSocial WorkSociologySpanishAstronomyChemistryEarth ScienceEngineeringHealthLife SciencesMathematicsNutritionOceanographyPhysicsAssessment, Training, and ProjectsComputer ConceptsComputer ScienceDatabasesGame Design & DevelopmentGraphic CommunicationsHelp Desk/Desktop SupportInternetMedia Arts & DesignMISMusic TechnologyNetworking & SecurityOffice SuitesOperating SystemsPC Repair/A+Presentation ToolsProgrammingProject ManagementSoft SkillsSpreadsheetsWeb Design & DevelopmentWord ProcessingAgriscienceAutomotive and MechanicsAviationCatering and HospitalityCollege SuccessEducationElectronics and EngineeringHair & BeautyLeisure and ToursimNursing, Medical and DentistryPhotography, Multimedia and DesignProfessional Development and Study SkillsTradesCengage Learning EMEAEnglish Language TeachingGlobalHigher EducationLibrary & ReferenceAbout UsCopyright, Terms & ConditionsPrivacy PolicyContact UsCareersWebsite Design by Mulberry Interactive Ltd |
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