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Understandable Statistics Concepts and Methods
Understandable Statistics: Concepts and Methods 10th Edition is a thorough, yet accessible program designed to help readers overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing the links between statistics and the world. To reinforce this approach--and make the material interesting as well as easier to understand--the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet.
Readers also have opportunities to develop their critical thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, MINITAB, and SPSS is covered for those who wish to learn about these helpful tools.
Basic Business Statistic
Berenson shows readers how statistics is used in each functional area of business. Basic Business Statistics shows the relevance of statistics by familiarizing readers with the statistical applications used in the business world, providing clear instructions for using statistical applications, and offering ample opportunities for practice. The twelfth edition has built on the application emphasis and provides enhanced coverage of statistics.
Statistics Essential Training
In SPSS Statistics Essential Training, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and data analysis in SPSS, the statistical package for business, government, research, and academic organization. From importing spreadsheets to creating regression models to exporting presentation graphics, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application. Exercise files are included with the course.
Introduction to Statistics and Data Analysis
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Probability and Statistics for Engineers
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Mathematical Statistics with Applications
In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.
Probability and Statistics for Finance
In order to remain competitive in the intensely quantitative field of finance, you need a firm understanding of the foundations of finance: probability and statistics. Expert authors Svetlozar (Zari) Rachev, Markus Hochstotter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance for that reason.
Engaging and informative, this reliable guide not only covers introductory material on probability and statistics for students and practitioners, but also provides unique coverage of specific topics that are of special interest to finance professionals, researchers, and academics.
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Probability & Statistics for Engineers & Scientists
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
Probability and Statistics for Engineering and the Sciences
This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.
Statistics for the Life Sciences
The style of Statistics for the Life Sciences is informal and uses only minimal mathematical notation. There are no prerequisites except elementary algebra; anyone who can read a biology or chemistry textbook can read this text. It is suitable for use by graduate or undergraduate students in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry and other life sciences
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