Statistics 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.
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Breite: 242 mm
Dicke: 43 mm
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ISBN-13
978-0-673-99296-3 (9780673992963)
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Schweitzer Klassifikation
1. 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.
