Statistical Techniques In Business And Economics(14th Edition)

Authors:

Douglas Lind, William Marchal, Samuel Wathen

Free Statistical Techniques In Business And Economics14th EditionDouglas Lind, William Marchal, Samuel Wathen0077309421, 978-0077309428
2 ratings
Cover Type: Paperback
Condition: Used/New

In Stock

Shipment time

Expected shipping within 2 - 5 Days
Access to 35 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $49.99 Savings: $49.99 (100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Statistical Techniques In Business And Economics

Price:

$9.99

/month

Book details

ISBN: 0077309421, 978-0077309428

Book publisher: McGraw-Hill/Irwin; 14 Edition (2009-01-08) (January 1, 1800)

Book Price $0 : 'Statistical Techniques in Business and Economics' by Douglas Lind, William Marchal, and Samuel Wathen is an essential resource for students and professionals seeking comprehensive knowledge in applied statistics. The 14th edition continues to be a pragmatic guide that skillfully covers the statistical tools needed for efficient business decision-making and economic analysis. One of the key themes of the book is its application-based approach, emphasizing real-world business scenarios. The text delves into various statistical methodologies including regression analysis, hypothesis testing, and probability distributions, ensuring readers are well-equipped to interpret and analyze data effectively. This edition includes a 'solution manual' and an 'answer key' to aid self-assessment, enhancing its teaching utility. The 'table of contents' is meticulously organized to provide a logical flow of topics, making navigation intuitive for users. The authors also incorporate advanced statistical methods like chi-square tests and ANOVA, which are indispensable for market research and operations management. The book has received positive reviews for its lucid explanations and practical approach to complex topics. Its numerical illustrations and case studies bridge the gap between theory and practice, making it invaluable for learners. LSI context: The authors focus on data interpretation, statistical inference, and drawing conclusions from quantitative data. Their methodology emphasizes the relevance of statistics in strategic planning, resource allocation, and identifying market trends in economic environments. Students will appreciate this cheap and cost-effective study aid designed to reinforce key concepts.