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About this product
Product Identifiers
PublisherAddison-Wesley Longman, Incorporated
ISBN-100673992969
ISBN-139780673992963
eBay Product ID (ePID)1124085
Product Key Features
Number of Pages950 Pages
Publication NameStatistical Thinking and Data Analysis Methods for Managers
LanguageEnglish
SubjectOperating Systems / General, Industrial Management, Statistics
Publication Year1997
TypeTextbook
Subject AreaComputers, Business & Economics
AuthorWynn A. Abranovic
FormatCD-ROM / Trade Paperback
Dimensions
Item Height1.7 in
Item Weight60.1 Oz
Item Length9.5 in
Item Width8.1 in
Additional Product Features
Edition Number1
Intended AudienceCollege Audience
LCCN96-007505
Dewey Edition20
IllustratedYes
Dewey Decimal519.5
Table Of Content1. The Kaleidoscopic World of Applied Statistics. 2. Exploring the Features of a Single Variable. 3. Classical Methods of Summarizing a Single Variable. 4. Introduction to Probability. 5. The Normal Distribution. 6. A Mix of Tools for Business and Economic. 7. Data. 8. Sampling Distributions, Single Sample Confidence Intervals, and Hypothesis Tests. 9. Exploring Relationships Between Pairs of Variables. 10. Classical Methods for Summarizing Relationships Between Pairs of Variables. 11. The Analysis of Categorical (Qualitative) Variables, Texts of Goodness of Fit, and Independence. 12. Simple Regression Analysis and the Analysis of Variances. 13. Multiple Regression Analysis. 14. Special Probability Distributions. 15. Some Statistical Aspects of Quality Control. 16. Experimental Designs and the Analysis of Variance. 17. Classical Time Series Analysis. 18. Index Numbers. 19. Nonparametic Methods. 20. Decision Theory.
SynopsisStatistics can't be over simplified, but it can be clarified and made fun to learn. Abranovic was inspired by his own students' positive reactions to create a textbook that succeeds by encouraging self-study, presenting new concepts in bitesize chunks, and moving the learner enjoyably toward active statistical analysis. Statistical Thinking and Data Analysis Methods for Managers includes data sets on diskettes and employs up-to-date Exploratory Data Analysis (EDA) tools, such as stem-and-leaf diagrams and box plots, without Sacrificing traditional methods and intellectual rigor. Designed for introductory courses and adaptable to graduate study, the text diminishes the need for spending classroom time on computational formulas. With its strong approach and use of global examples throughout, it will appeal to those who want heavy problem use and international applications.
LC Classification NumberHD30.215.A27 1997
