Applied Statistics for Business and Economics

Author:   Robert M. Leekley
Publisher:   Taylor & Francis Inc
ISBN:  

9781439805688


Pages:   496
Publication Date:   16 March 2010
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Applied Statistics for Business and Economics


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Full Product Details

Author:   Robert M. Leekley
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 17.80cm , Height: 3.00cm , Length: 25.40cm
Weight:   1.080kg
ISBN:  

9781439805688


ISBN 10:   1439805687
Pages:   496
Publication Date:   16 March 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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For the mathematician, this text does an outstanding job of integrating things on the mathematical level. ! This is one of the few texts to try to make plausible the complex formula for two-sample t degrees of freedom when we do not assume the two variances are equal. ! [Students] will like the clear and to the point writing. --MAA Reviews, September 2010


In this excellent textbook Professor Leekley takes the reader, as if they were his students, through every detail of examples, working all steps with great patience. This generous approach is even extended to explaining how mathematical and statistical notation and symbols are read; a very rare and valuable education. ! This book is highly recommended as a textbook for business statistics and it can also be used as a manual for self-study. --Journal of the Royal Statistical Society: Series A, July 2011 For the mathematician, this text does an outstanding job of integrating things on the mathematical level. ! This is one of the few texts to try to make plausible the complex formula for two-sample t degrees of freedom when we do not assume the two variances are equal. ! [Students] will like the clear and to the point writing. --MAA Reviews, September 2010


Author Information

Robert M. Leekley is a professor in the Department of Economics at Illinois Wesleyan University.

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