Addison-Wesley / Prentice Hall
Statistics
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ISBN-10: 0136152597
ISBN-13: 9780136152590
Publisher: Prentice Hall
Copyright: 2009
Format: Paper; 624 pp
Published: 01/15/2008
Suggested retail price: $166.67
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The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.
- A wide variety of interesting and diverse applications, many new to this edition:
- Represent a wide and diverse array of relevant business and decision making applications.
- Feature unique and sourced data that illustrates the role that statistics play in decision making.
- Use real world data to emphasize that statistics is important to understanding the world around us.
- Emphasize the interpretation of real problems and adapts them to standard methods of analysis.
- Chapter Openers provide a valuable roadmap for learning.
- Where We’ve Been quickly reviews how previously learned information applies to the upcoming chapter.
- Where We’re Going highlights how the chapter topics fit into students’ growing understanding of statistics.
- End-of-Chapter Review concludes each chapter with information designed to help students check their understanding of the material and study for tests.
- Quick Review is a list of key terms and formulas with page number references for easy look up.
- Language Lab helps students learn the language of statistics through pronunciation guides, descriptions of symbols, names, etc.
- Supplementary Exercises review the important topics introduced in the chapter.
- Chapter Summary Notes help the student summarize and reinforce the important points from the chapter and also serve as a useful study tool.
- Intelligent categorization of the exercise sets into three types gives professors great flexibility in assigning exercises of different levels of difficulty and type:
- Understanding the Principles are skill-and-drill exercises, followed by Learning the Mechanics, then Applied Exercises, which are separated into Basic, Intermediate and Advanced.
- Critical Thinking Challenges ask students to think critically to solve one or two challenging real-life problems. These are located at the end of each chapter’s exercise set.
- The 3-Step Example Format provides students with a well-defined structure to approach problems and enhance their problem solving skills.
- “Now Work” exercises give students the opportunity to test and confirm their understanding of each concept. These exercises follow each example, suggesting similar end-of-section exercise to the text example.
- Statistics in Action Cases begin each chapter with an engaging case study of a contemporary, controversial, or high-profile issue and its accompanying data. The case is revisited throughout the chapter (Statistic in Action Revisited) to demonstrate how to analyze the data and interpret the results. This feature illustrates the importance of applying sound statistical techniques in order to evaluate the findings and to think through the statistical issues involved.
- Full-color presentation highlights the important pedagogy within the text, helping student make the most of their text.
- Minitab® Software Tutorials are referenced at the end of each chapter. "Using Technology" tutorials contain point-and-click instructions and screen shots for Minitab. These tutorials are easily located and provide students with useful information on how best to use and maximize Minitab statistical software.
- Statistical Software Printouts appear throughout the text in examples and exercises and include Minitab, SPSS®, and SAS® printouts. Students benefit from the exposure to the computer printouts they will encounter in the hi-tech world.
- Flexible coverage of probability offers a choice in level of coverage. Counting rules are located in a separate, optional section at the end of the probability chapter.
- Profiles of Statisticians in History side boxes provide a photo and a brief description of famous statistician’s achievements. Reviewing these profiles helps students develop an appreciation of the statistician’s efforts as well as for the discipline of statistics as a whole.
- The Student Data CD, which is packaged with every new copy of the text, contains files for all of the data sets in the text that are marked by a CD icon. These include data sets for text examples, exercises, and “Statistics in Action” cases. All data files are saved in four different formats: Minitab, SAS, SPSS, and ASCII (for easy importing into other statistical software packages). The CD also contains the applets used to illustrate statistical concepts.
- Over 30% revised or updated exercises based on contemporary studies and real data. Most of these exercises foster and promote critical thinking skills. In addition to Learning the Mechanics exercises, Applied Exercises are categorized into “Basic,” “Intermediate,” and “Advanced” at the end of each section.
- Visual End-of-Chapter Summaries feature flow graphs for selecting the appropriate statistical method, as well as boxed notes with key words, formulas, definitions, lists, and key concepts. This graphical presentation is especially helpful to those students who are visual learners, but it all students by summarizing and reinforcing the important points from the chapter.
- “Hands-On” Activities for Studentsin each chapter offer opportunities to participate in hands-on classroom activities, ranging from real data collection to formal statistical analysis. These optional activities, based on key concepts and procedures in the chapter, can be performed individually or as a class.
- Applet Exercises allow students to easily run simulations that demonstrate some of the more difficult statistical concepts (e.g., sampling distributions and confidence levels). Each chapter contains several optional applet exercises in the exercise sets, which are denoted with an Applet icon. These applets are located on the Data CD-ROM that is bound with every new copy of the book.
- New Statistics in Action Cases have been added, each centering on a contemporary, controversial, or high-profile issue and its accompanying data. For example, the authors explore whether homework assigned to family members is really effective (Chapter 9), and the relationship between how often and how much college students drink alcohol (Chapter 13).
- Nonparametrics Chapter on the CD: At the recommendation of reviewers and current users of the text, Chapter 14 (Nonparametric Statistics) is now available on a CD that accompanies the text or online at www.prenhall.com/statistics. (Click on “Introductory Statistics” and then click on the listing for this textbook.)
- Content-Specific Changes to This Edition
- Chapter 11 (Simple Linear Regression). Several sections from the previous edition have been combined and streamlined to shorten the chapter. The section on estimating σ2 is now included in Section 11.3 (“Model Assumptions”), while the sections on the coefficients of correlation and determination are combined into a single section (Section 11.5).
- Chapter 12 (Multiple Regression and Model Building). Two sections from the previous edition have been reorganized: Section 12.2 now presents tests on the individual model parameters, as well as interpretations of their values; Section 12.3 discusses how to make inferences about the overall utility of the multiple-regression model.
1. Statistics, Data, and Statistical Thinking
1.1 The Science of Statistics
1.2 Types of Statistical Applications
1.3 Fundamental Elements of Statistics
1.4 Types of Data
1.5 Collecting Data
1.6 The Role of Statistics in Critical Thinking
Statistics in Action: USA Weekend Teen Surveys — Are Boys Really from Mars and Girls from Venus?
Using Technology: Creating and Listing Data in MINITAB
2. Methods for Describing Sets of Data
2.1 Describing Qualitative Data
2.2 Graphical Methods for Describing Quantitative Data
2.3 Summation Notation
2.4 Numerical Measures of Central Tendency
2.5 Numerical Measures of Variability
2.6 Interpreting the Standard Deviation
2.7 Numerical Measures of Relative Standing
2.8 Methods for Detecting Outliers (Optional)
2.9 Graphing Bivariate Relationships (Optional)
2.10 Distorting the Truth with Descriptive Techniques
Statistics In Action: The "Eye Cue" Test: Does Experience Improve Performance?
Using Technology: Describing Data in MINITAB
3. Probability (from McClave 11e–Chap 3)
3.1 Events, Sample Spaces, and Probability
3.2 Unions and Intersections
3.3 Complementary Events
3.4 The Additive Rule and Mutually Exclusive Events
3.5 Conditional Probability
3.6 The Multiplicative Rule and Independent Events
3.7 Random Sampling
3.8 Some Counting Rules (Optional)
Statistics In Action: Lotto Buster! — Can You Improve Your Chances of Winning the Lottery?
Using Technology: Generating a Random Sample in MINITAB
4. Random Variables and Probability Distributions
4.1 Two Types of Random Variables
4.2 Probability Distributions for Discrete Random Variables
4.3 The Binomial Distribution
4.4 Probability Distributions for Continuous Random Variables
4.5 The Normal Distribution
4.6 Descriptive Methods for Assessing Normality
4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional)
4.8 Sampling Distributions
4.9 The Central Limit Theorem
Statistics in Action: Super Weapons Development — Is the Hit Ratio Optimized?
Using Technology: Binomial Probabilities, Normal Probabilities, and Normal Probability Plots in MINITAB
5. Inferences Based on a Single Sample: Estimation with Confidence Intervals
5.1 Identifying the Target Parameter
5.2 Large-Sample Confidence Interval for a Population Mean
5.3 Small-Sample Confidence Interval for a Population Mean
5.4 Large-Sample Confidence Interval for a Population Proportion
5.5 Determining the Sample Size
Statistics in Action: Speed — Can a High School Football Player Improve His Sprint Time?
Using Technology: Confidence Intervals in MINITAB
6. Inferences Based on a Single Sample: Tests of Hypothesis
6.1 The Elements of a Test of Hypothesis
6.2 Large-Sample Test of Hypothesis About a Population Mean
6.3 Observed Significance Levels: p-Values
6.4 Small-Sample Test of Hypothesis About a Population Mean
6.5 Large-Sample Test of Hypothesis About a Population Proportion
6.6 A Nonparametric Test about a Population Median (Optional)
Statistics in Action: Diary of a Kleenex User— How Many Tissues in a Box?
Using Technology: Tests of Hypothesis in MINITAB
7. Comparing Population Means
7.1 Identifying the Target Parameter
7.2 Comparing Two Population Means: Independent Sampling
7.3 Comparing Two Population Means: Paired Difference Experiments
7.4 Determining the Sample Size
7.5 A Nonparametric Test for Comparing Two Population: Independent Sampling (Optional)
7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiments (Optional)
7.7 Comparing Three or More Population Means: Analysis of Variance (Optional)
Statistics in Action: On the Trail of the Cockroach: Do Roaches Travel at Random?
Using Technology: Comparing Means in MINITAB
8. Comparing Population Proportions
8.1 Comparing Two Population Proportions: Independent Sampling
8.2 Determining the Sample Size
8.3 Contingency Table Analysis (Optional)
Statistics in Action: College Students and Alcohol — Is Drinking Frequency Related to Amount?
Using Technology: Chi-Square Analyses in MINITAB
9. Simple Linear Regression
9.1 Probabilistic Models
9.2 Fitting the Model: The Least Squares Approach
9.3 Model Assumptions
9.4 Assessing the Utility of the Model: Making Inferences About the Slope β1
9.5 The Coefficients of Correlation and Determination
9.6 Using the Model for Estimation and Prediction
9.7 A Complete Example
9.8 A Nonparametric Test for Correlation (Optional)
Statistics in Action: Can "Dowsers" Really Detect Water?
Using Technology: Simple Linear Regression in MINITAB
Appendix A: Tables
Table I Random Numbers
Table II Binomial Probabilities
Table III Normal Curve Areas
Table IV Critical Values of t
Table V Critical Values of TL and TU for the Wilcoxon Rank Sum Test: Independent Samples
Table VI Critical Values of T0 in the Wilcoxon Paired Difference Signed Rank Test
Table VII Percentage Points of the F Distribution, α=.10
Table VIII Percentage Points of the F Distribution, α=.05
Table IX Percentage Points of the F Distribution, α=.025
Table X Percentage Points of the F Distribution, α=.01
Table XI Critical Values of χ2
Table XII Critical Values of Spearman's Rank Correlation Coefficient
Short Answers to Selected Odd-Numbered Exercises
Index
Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also currently an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for twenty years.
Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and the Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.
- Student Solutions Manual, 10/E
Boudreau & Sincich
© 2009 | Prentice Hall | Paper; 338 pages | Instock
ISBN-10: 0136045197 | ISBN-13: 9780136045199
Buy from myPearsonStore - Technology Manual, 10/E
Drougas, Kelly & Vukov
© 2009 | Prentice Hall | Paper Bound w/CD-ROM; 360 pages | Instock
ISBN-10: 0136045170 | ISBN-13: 9780136045175
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- Interwrite Personal Response System
EduCue, Addison-Wesley & Benjamin Cummings
© 2004 | Benjamin Cummings | Electronic Supplement | Instock
ISBN-10: 0321267354 | ISBN-13: 9780321267351 - iClicker Classroom Response System
iClicker, Addison-Wesley & Benjamin Cummings
© 2008 | Benjamin Cummings | Electronic Supplement | Instock
ISBN-10: 032153705X | ISBN-13: 9780321537058
For Introductory Statistics - Algebra-Based
- Classroom Use of a Classroom Response System: What Clickers can do for Your Students
Broida
© 2007 | Benjamin Cummings | Paper; 144 pages | Instock
ISBN-10: 0131879006 | ISBN-13: 9780131879003
- Excel 2007 with DDXL Study Card for Statistics
Priestly
© 2009 | Prentice Hall | Study Card; 6 pages | Out of Stock
ISBN-10: 0321592808 | ISBN-13: 9780321592804
- Graphing Calculator Study Card for Statistics
McDonald-Newman
© 2009 | Addison-Wesley | Study Card | Estimated Availability: 01/08/2009
ISBN-10: 0321570774 | ISBN-13: 9780321570772
- JMP v. 6 Study Card for Statistics
Priestly
© 2009 | Prentice Hall | Study Card; 6 pages | Estimated Availability: 10/20/2008
ISBN-10: 0321592816 | ISBN-13: 9780321592811
- MathXL/StatXL Instructor Access Kit, 4/E
Prentice Hall
© 2008 | Addison-Wesley | Paper | Instock
ISBN-10: 0131478958 | ISBN-13: 9780131478954
- R Study Card for Statistics
Reimherr
© 2009 | Addison-Wesley | Study Card | Estimated Availability: 12/22/2008
ISBN-10: 0321592832 | ISBN-13: 9780321592835
- SPSS v. 17 Study Card for Statistics
Priestly
© 2009 | Addison-Wesley | Study Card | Estimated Availability: 01/08/2009
ISBN-10: 0321589793 | ISBN-13: 9780321589798
Give your students a choice! PearsonChoices products are designed to give your students more value and flexibility by letting them choose from a variety of text and media formats to best match their learning style and their budget.
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First Course in Statistics Plus MyMathLab Student Access Kit, A, 10/E
McClave & Sincich
© 2009 | Prentice Hall | Kit/Package/ShrinkWrap | Estimated Availability: 11/27/2008
ISBN-10: 0137129076 | ISBN-13: 9780137129072
This title is a member of the MyStatLab Series, which also contains the titles below . You can also visit the MyStatLab Series page.
Elementary Statistics, 7/E
Weiss
© 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 780 pages | Instock
ISBN-10: 0321422090 | ISBN-13: 9780321422095
Brief Description | Buy from myPearsonStore
Elementary Statistics Using Excel, 3/E
Triola
© 2007 | Addison-Wesley | Cloth Bound with Disk; 948 pages | Instock
ISBN-10: 0321365135 | ISBN-13: 9780321365132
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Elementary Statistics Using the TI-83/84 Plus Calculator, 2/E
Triola
© 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 936 pages | Instock
ISBN-10: 0321462572 | ISBN-13: 9780321462572
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Elementary Statistics With Multimedia Study Guide, 10/E
Triola
© 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 912 pages | Instock
ISBN-10: 0321460928 | ISBN-13: 9780321460929
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Elementary Statistics: Picturing the World, 4/E
Larson & Farber
© 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 792 pages | Instock
ISBN-10: 0132424339 | ISBN-13: 9780132424332
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Essentials of Statistics, 3/E
Triola
© 2008 | Addison-Wesley | Paper Bound w/CD-ROM; 672 pages | Instock
ISBN-10: 0321434250 | ISBN-13: 9780321434258
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First Course in Statistics, A, 10/E
McClave & Sincich
© 2009 | Prentice Hall | Paper; 624 pages | Instock
ISBN-10: 0136152597 | ISBN-13: 9780136152590
Brief Description | Buy from myPearsonStore
Fundamentals of Statistics, 2/E
Sullivan
© 2008 | Prentice Hall | Paper; 600 pages | Instock
ISBN-10: 0131569872 | ISBN-13: 9780131569874
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Intro Stats, 3/E
De Veaux, Velleman & Bock
© 2009 | Addison-Wesley | Cloth Bound w/CD-ROM; 864 pages | Instock
ISBN-10: 0321500458 | ISBN-13: 9780321500458
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Introductory Statistics, 8/E
Weiss
© 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 976 pages | Instock
ISBN-10: 0321393619 | ISBN-13: 9780321393616
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MYSTATLAB: Simplicity, dependability, choice...proven success!
Addison-Wesley
© 2008 | Addison-Wesley | On-line Supplement | Estimated Availability: 02/22/2008
ISBN-10: 0321571622 | ISBN-13: 9780321571625
URL: http://www.mystatlab.com
Brief Description
Statistical Reasoning for Everyday Life, 3/E
Bennett, Briggs & Triola
© 2009 | Addison-Wesley | Paper; 512 pages | Instock
ISBN-10: 0321286723 | ISBN-13: 9780321286727
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Statistics, 11/E
McClave, Sincich & Mendenhall
© 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 864 pages | Instock
ISBN-10: 0132069512 | ISBN-13: 9780132069519
Brief Description | Buy from myPearsonStore- Students are most effectively motivated by seeing statistics at work in real applications, problems, cases, and projects.
- Students should be provided with the opportunity to work with real data and make use of technology for statistical computations.
- Formal training in probability needs to be downplayed in favor of intuitive concepts of probability.
- We need to reduce our emphasis on formal theory of statistics and increase emphasis on applications.
Statistics for Business & Economics, 10/E
McClave, Benson & Sincich
© 2008 | Prentice Hall | Cloth Bound w/CD-ROM; 944 pages | Instock
ISBN-10: 0132409356 | ISBN-13: 9780132409353
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Statistics: Informed Decisions Using Data, 2/E
Sullivan
© 2007 | Prentice Hall | Cloth; 928 pages | Instock
ISBN-10: 0131871498 | ISBN-13: 9780131871496
Brief Description | Buy from myPearsonStore- Emphasize statistical literacy and develop statistical thinking.
- Use real data.
- Stress conceptual understanding rather than mere knowledge of procedures.
- Foster active learning in the classroom.
- Use technology for developing concepts and analyzing data.
- Use assessment to evaluate and improve student learning.
Statistics: The Art and Science of Learning From Data
Agresti & Franklin
© 2007 | Prentice Hall | Cloth; 768 pages | Instock
ISBN-10: 0130083690 | ISBN-13: 9780130083692
Brief Description
Statistics: The Art and Science of Learning from Data, 2/E
Agresti & Franklin
© 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 848 pages | Instock
ISBN-10: 0135131995 | ISBN-13: 9780135131992
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Stats: Data and Models, 2/E
De Veaux, Velleman & Bock
© 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 800 pages | Instock
ISBN-10: 0321433793 | ISBN-13: 9780321433794
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Stats: Modeling the World, 2/E
Bock, Velleman & De Veaux
© 2007 | Addison-Wesley | Cloth Bound w/CD-ROM; 792 pages | Instock
ISBN-10: 0321375599 | ISBN-13: 9780321375599
Brief Description | Buy from myPearsonStore
This new edition continues the author’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.
Elementary Statistics, Seventh Edition, is the ideal text for instructors who teach a one-semester course and prefer a briefer presentation of topics.
Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition, promotes statistical literacy and critical thinking, using Excel as the key tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.
Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.
Elementary Statistics Using the Graphing Calculator is written for a one-semester introductory statistics course in which the TI-83 or TI-84 Plus graphing calculator is used. It is appropriate for students majoring in any field. Completion of an elementary algebra course is recommended, but not required, because the use of algebra in the text is minimal.
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics, now with a Multimedia Study Guide on CD-ROM included with every new copy of the book. The Multimedia Study Guide contains nine hours of review exercise videos presented by the author, animated flowcharts that walk students through complex concepts and procedures, and selected solutions from the Student’s Solutions manual.
This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
Students learning from Elementary Statistics should have completed an elementary algebra course. Although formulas and formal procedures can be found throughout the text, the emphasis is on development of statistical literacy and critical thinking.
Datasets and other resources (where applicable) for this book are available here.
Offering the most accessible approach to statistics, with a strong visual/graphical emphasis, this text offers a vast number of examples on the premise that students learn best by "doing". The fourth edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking in addition to calculations. This emphasis on "statistical literacy" is reflective of the GAISE recommendations.
Datasets and other resources (where applicable) for this book are available here.
Essentials of Statistics,Third Edition is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics, Tenth Edition, this text provides the same student-friendly approach with material presented in a real-world context.
Datasets and other resources (where applicable) for this book are available here.
The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.
This very popular text promotes student success while maintaining the statistical integrity of the course. Three objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) to permit flexibility of teaching styles. This revision follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the college introductory statistics course.
Datasets and other resources (where applicable) for this book are available here.
Intro Stats, Third Edition has a fun, conversational writing style, real up-to-date data, hundreds of examples based on current events, and short, accessible chapters. The innovative Think/Show/Tell examples, pioneered in the first edition, now present new data and discussions. The new For Example sections illustrate each new concept or method with a brief, worked example.
This text covers all material typical in a one-semester statistics course, with supplemental chapters on analysis of variance (ANOVA) and multiple regression included on the book’s DVD-ROM. The text maintains its commitment to the recommendations of the ASA-endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.
Datasets and other resources (where applicable) for this book are available here.
This new edition continues Weiss’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.
Introductory Statistics, Eighth Edition, contains a parallel presentation of the P-value and critical value approaches to hypothesis testing and promotes active learning and critical thinking, particularly in the exercises and end-of-chapter projects. The scope and flexibility of this Weiss text make it suitable for a one- or two-semester course.
Datasets and other resources (where applicable) for this book are available here.
MyStatLab (part of the MyMathLab® and MathXL® product family) is a text-specific, easily customizable online course that integrates interactive multimedia instruction with textbook content. It is a one-stop resource for instructors to access valuable supplements and features powerful course management tools to help you eliminate time-consuming administrative work so you can focus on teaching. MyStatLab provides students with a personalized interactive learning environment, with dynamic learning tools to help them master the material and succeed. For more information, visit our website at www.mystatlab.com or contact your Pearson sales representative.
Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas. The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.
Datasets and other resources (where applicable) for this book are available here.
For a one- or two-term course in business statistics.
This best-selling introduction stresses the development of statistical thinking — the assessment of credibility and value of the inferences made from data — by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.
The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project:
For algebra-based Introductory Statistics Courses.
This very popular text is written to promote student success while maintaining the statistical integrity of the course. The author draws on his teaching experience and background in statistics and mathematics to achieve this balance. Three fundamental objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) Allowing for flexibility of teaching styles.
Datasets and other resources (where applicable) for this book are available here.
For algebra-based Introductory Statistics Courses.
The overarching goal of this text is to empower students to be statistical thinkers
Alan Agresti and Chris Franklin have merged their research expertise, as well as their extensive real-world and teaching experience, to develop a new introductory statistics text that makes students statistically literate, while encouraging them to ask and answer interesting statistical questions. The authors have successfully crafted a text that takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.
The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current and successfully illustrate the relevance of statistics.
The authors understand that most of the real-world data that students encounter outside the class room are categorical data. Unlike many texts at this level, Agresti/Franklin incorporates categorical data where appropriate and draws distinctions between theory and practical application of statistical ideas and methods.
The text was written, from the ground up, to embrace and support the 6 recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report - http://www.amstat.org/education/gaise/GAISECollege.htm:
Comes with a CD containing data sets, additional activities, and applets. The CD with the IE, furthermore, includes Instructor-to-Instructor videos which further detail, by chapter, the authors approach and provides suggestions on how to present concepts. These Instructor-to-Instructor videos are very complimentary to the IE chapter introductions.
The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.
The text maintains its commitment to the recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.
Datasets and other resources (where applicable) for this book are available here.
Lauded by students and instructors alike for its readability and ease of comprehension, Stats: Data and Models, Second Edition, focuses on statistical thinking and data analysis. The text incorporates compelling examples derived from the authors’ wealth of consulting experience and encourages students to learn how to reason with data. The book is organized into short chapters that focus on one topic at a time and offer instructors maximum flexibility in planning courses.
Written in an approachable style without sacrificing rigor, this newly revised text is appropriate for a one- or two-semester course. Features include Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
Datasets and other resources (where applicable) for this book are available here.
Now even easier to read and use, every chapter of this Second Edition features new exercises graded by level of difficulty, Just Checking questions that check students’ understanding of key concepts, and What Have We Learned? sections that summarize the main topics covered in each chapter.
Datasets and other resources (where applicable) for this book are available here.
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