Statistics For Business And Economics - Disk Included, 8th Edition - P-George Benson

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Résumé :
Statistics for Business and Economics, Eighth Edition, introduces the world of data collection and analysis in Real-World business settings using an applied, hands-on approach that engages and stimulates students. This revision stresses the development of analytical skills and manipulation of technological tools to reach informed decisions and become conscientious producers and consumers of data. Pedagogical tools include : Statistics in Action sections examine real-life, high-profile issues. Real-World Business Case Studies include real data and exercises and give students practice analyzing real-life business and economic situations. Computer Software and Graphing Calculator. Explorations provide screen printouts from SAS, SPSS, MINITAB, STATISTIX, and the TI-83 that show students how data is processed and that prompt them to make inferences about the data. Student supplements include : Student Solutions Manual contains carefully worked-out solutions to all of the odd-numbered exercises in the text. Microsoft Excel Companion Manual is specifically correlated to the text. Step-by-step keystroke level instructions, with screen captures, provide detailed help for using the technology to work problems in the text. Includes PHstat, a statistics add-in for Microsoft Excel (CD-ROM). Student versions of SPSS, SYSTAT, and MINITAB. ConStats, a Microsoft Windows based program that stimulates students' conceptual understanding of statistics. Companion Website located at http : //www.prenhall.com/mcclave supports the text as a powerful teaching and learning tool.

Sommaire:

• Statistics, data, and statistical thinking
• Methods for describing sets of data
• Probability
• Discrete random variables
• Continuous random variables
• Sampling distributions
• Inferences based on a single sample: estimation with confidence intervals
• Inferences based on a single sample: tests of hypothesis
• Inferences based on two samples: confidence intervals and tests of hypotheses
• Simple linear regression
• Multiple regression and model building
• Methods for quality improvement
• Time series: descriptive analyses, models, and forecasting
• Design of experiments and analysis of variance
• Nonparametric statistics
• Categorical data analysis