Statistics For Business Decision Making And Analysis(3rd Edition)
Authors:
Robert A. Stine, Dean Foster
In Stock
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Expected shipping within 2 - 5 DaysPopular items with books
Total Price:
$87.99
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 134497163, 978-0134497167
Book publisher: Pearson
Book Price $0 : Statistics for Business Decision Making and Analysis by Robert A. Stine and Dean Foster is a comprehensive guide focused on applying statistical techniques to solve practical business problems. This third edition emphasizes interpreting data with a strong foundation in statistical analysis, making it an indispensable resource for students and professionals alike. The book covers key statistical concepts such as regression analysis, hypothesis testing, and probability distributions, which are crucial for informed business decision-making. It's designed to guide readers through a structured learning process, beginning with fundamental principles and advancing to complex data analyses. A detailed table of content outlines the flow from basic statistical techniques to advanced applications, ensuring learners can easily track their progress and revisit specific topics as needed. The authors provide a robust solution manual and an answer key, making it easier for students to validate their understanding and instructors to design effective curricula. This textbook is highly regarded for its practical approach, integrating real-world business scenarios where statistical methods are applied for decision-making insights. Its reception in academic and professional settings has been positive, thanks to its clarity and usefulness in developing statistical literacy applicable to business environments. The book also includes numerous examples, case studies, and problem sets, providing hands-on practice to master the essential methodologies. Stine and Foster's work is an essential asset for those pursuing expertise in business analytics, data-driven decision-making, and economic analysis. The statistical knowledge imparted through this book is beneficial for courses focused on quantitative analysis, enhancing learners' abilities to derive actionable insights from data.
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