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Statistics: The Art And Science of Learning from Data

Science & Math

Agresti, Alan

Franklin, Christine A.

Mathematics

Pearson College Div

Agresti/Franklin teaches students to be statistical thinkers. Alan Agresti and Chris Franklin have brought their extensive real world and teaching experience to the challenge of developing a new introductory statistics text that is accessible and engaging to students without compromising necessary rigor. The authors have rethought the examples that form the core of most statistics texts and have developed a logical structure that teaches students to think statistically-- to ask and answer interesting, statistically relevant questions. In a nod to the real world data that students encounter most frequently in the popular press, the authors place greater emphasis on proportions than do many books at this level and draw distinctions as appropriate, between academic theory and practical application of statistical ideas and methods.

Statistics: The Art and Science of Learning from Data -Preliminary Edition

Pearson

Statistics: The Art and Science of Learning from Data

KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to readers without compromising necessary rigor. KEY TOPICS: GATHERING and EXPLORING DATA; Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability in our Daily Lives; Probability Distributions; Sampling Distributions; INFERENCE STATISTICS; Statistical Infere

KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to readers without compromising necessary rigor.      KEY TOPICS: GATHERING and EXPLORING DATA; Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability in our Daily Lives; Probability Distributions; Sampling Distributions; INFERENCE STATISTICS; Statistical Inference: Confidence Intervals; Statistical Inference: Significance Tests about Hypotheses; Comparing Two Groups; ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS; Analyzing the Association Between Categorical Variables; Analyzing the Association Between Quantitative Variables: Regression Analysis; Multiple Regression; Comparing Groups: Analysis of Variance Methods; Nonparametric Statistics      MARKET: for all readers interested in statistics.

Statistics: The Art & Science of Learning from Data, Books a La Carte Edition

KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to readers without compromising necessary rigor. KEY TOPICS: GATHERING and EXPLORING DATA; Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability in our Daily Lives; Probability Distributions; Sampling Distributions; INFERENCE STATISTICS; Statistical Inference: Confidence Intervals; Statistical Inference: Significance Tests about Hypotheses; Comparing Two Groups; ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS; Analyzing the Association Between Categorical Variables; Analyzing the Association Between Quantitative Variables: Regression Analysis; Multiple Regression; Comparing Groups: Analysis of Variance Methods; Nonparametric Statistics MARKET: for all readers interested in statistics.

Statistics, Books a la Carte Edition plus NEW MyStatLab with Pearson eText-- Access Card Package (3rd Edition)

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It 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 Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Statistics: The Art and Science of Learning from Data (3rd Edition)

This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.

Student's Solutions Manual for Statistics: The Art and Science of Learning from Data

This edition features the exact same content as the traditional book in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible without compromising necessary rigor. Authors Alan Agresti and Christine Franklin believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the book pays greater attention to the analysis of proportions than many other introductory statistics books. Concepts are introduced first with categorical data, and then with quantitative data. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas. This package contains: <ul>
<li> Books a la Carte for Statistics: The Art and Science of Learning from Data, Third Edition, plus the CD-ROM that comes with the bound version of the textbook.</li> </ul>

Statistics: The Art and Science of Learning From Data, Books a la Carte Edition (3rd Edition)

The Videos on DVD provide a lecture for each section of the textbook. Video lectures cover important definitions, procedures, and concepts from the section by working through examples and exercises from the textbook. Videos have optional subtitles.

Video Resources on DVD for Statistics: The Art and Science of Learning from Data

Blitzstein, Joseph

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab &amp; Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab &amp; Mastering products. Packages Access codes for Pearson's MyLab &amp; Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It 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 Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Statistics plus NEW MyStatLab with Pearson eText -- Access Card Package (3rd Edition)

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