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  • Quantitative Analysis : Customized as per the BE syllabus requirements of the MBA syllabus at Gujarat Technological University

Quantitative Analysis : Customized as per the BE syllabus requirements of the MBA syllabus at Gujarat Technological University by David M. Levine, Naval Bajpai

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Regular Price: ₹550.00

Special Price ₹275.00

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Publisher Pearson Education
ISBN-10 8131756459
Edition N/A
Number of Pages 580
Publication Year 2010
Language English
ISBN-13 9788131756454
Binding Paperback

Details

Description This book has been customized by compiling two bestsellingtextbooks to map exactly to the specific syllabus requirements ofthe M.B.A programme at Gujarat Technological University. Theunderlying focus on the interpretation of results rather thancomputation makes this book highly relevant for students andpracticing managers. Presenting business statistics as value-addedtools in the process of converting data into useful information,this book offers readers a foundation in core statistical conceptsusing a perfect blend of theory and practical application. Uses a step-by-step approach to discuss the statistical applications using software such as MS Excel, Minitab, and SPSS Examples and problems framed using real-time data from organizations such as the CMIE and Indiastat.com shows how statistics is relevant to all business majors?accounting, finance, management, marketing, operations, and information systems. Allows students to focus on interpreting the software output and making informed business decisions Maintains a logical and coherent flow of concepts Introduction to Statistics, Statistics in Business, Data Measurement Charts and graphs Measures of Central Tendency Basic Probability Discrete Probability Distribution, Expected Value and Variance of a Distribution Continuous Probability Distribution Sampling and Sampling Distributions Estimation for Single Population Hypothesis Testing for Single Population Statistical Inferences About Two Populations Designs of Experiments and ANOVA Goodness of Fit Simple Regression Analysis Multiple Regression Analysis Time Series and Index Numbers Decision Making Under Certainity, Uncertainity, Risk Expected Value from Sample Information Appendices Index
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