Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context, allowing the reader to see the underlying hypotheses for the applications. Uses case studies and practical worked-out examples to motivate statistical reasoning and demonstrate the application of statistical methods to a wide variety of real-world situations. Discusses practical problems in the application of the ideas covered in each chapter, as well as common misunderstandings or faulty approaches. Revised Minitab sections now conform to the Version 14, the latest release. For anyone interested in learning more about mathematical statistics.

An Introduction to Mathematical Statistics and Its Applications

Science & Math

Larsen, Richard J.

Marx, Morris L.

Mathematics

Pearson College Div

An Student Solutions Manual for Introduction to Mathematical Statistics and Its Applications

Introduction to Mathematical Statistics and Its Applications

This successful, calculus-based probability and statistics text includes real world applications used to motivate discussion. Appropriate for two-semester courses. Revision coming August of '99.

Introduction to Mathematical Statistics and Its Applications, An

For courses in Mathematical Statistics      Introducing the principles of statistics and data modeling   Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways  to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

An introduction to mathematical statistics and its applications

PRENTICE/HALL

Drawing heavily on real-world examples and case studies, this volume offers a calculus-based, non-measure theoretic, problem-solving-oriented introduction to probability.

Introduction to Probability and Its Applications

Pearson

Appropriate for the algebra-based statistics course. First AIE for its market, extensive use of computers within text, includes case studies throughout.

Statistics

Using high-quality, real-world case studies and examples, this introduction to mathematical statistics shows how to use statistical methods and when to use them. This book can be used as a brief introduction to design of experiments. This successful, calculus-based book of probability and statistics, was one of the first to make real-world applications an integral part of motivating discussion. The number of problem sets has increased in all sections. Some sections include almost 50% new problems, while the most popular case studies remain. For anyone needing to develop proficiency with Mathematical Statistics.

An Introduction to Mathematical Statistics and Its Applications (3rd Edition)

Reference

Foreign Language Study & Reference

Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics. The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout the Fifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.

Introduction to Mathematical Statistics and Its Applications (5th Edition)

New coauthor Cynthia Rexroat brings her expertise in multivariate analysis expecially with interpretations of outcomes. Focuses on needs of social science majors with little emphasis on probability theory. Contains balanced coverage of descriptive and inferential statistics both essential for presenting and interpreting social data. Gives the most up-to-date procedures such as stem-and-leaf plots and box plots.

Statistics: A Tool for the Social Sciences (Duxbury Series in Statistics and Decision Science)

MENDENHALL, WILLIAM

Ott, R. Lyman

Rexroat, Cynthia

PWS Pub. Co.

Intended for the applied calculus-based, introductory statistics course for business and economics undergraduates and MBAs, this book presents business statistics as a problem-solving process, rather than as a means to achieve a numerical solution. Applied, data-driven, and copmuter-oriented, it emphasizes the principles of statistics as a foundation for application of statistical methodologies and real-life problems. Curve fitting and regression are introduced early, allowing students to use the computer from the start of the course. Statistical and spreadsheet software help students make the connections between probability models and actual data. The authors include sparing and careful use of calculus at critical points where a simple calculus reference or computation can totally eliminate the perplexing arbitrariness that is seen in 'cookbook' approaches.

Statistics for Applied Problem Solving and Decision Making

Business & Money

Cooil, Bruce

Management & Leadership

South-Western College Pub.

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