Managerial Statistics

Εξώφυλλο
MANAGERIAL STATISTICS presents core statistical methods in a modern, unified spreadsheet-oriented approach with a focus on applications to business. This text illustrates, in a very hands-on, example-based approach, a variety of statistical methods to help students analyze data sets and uncover important information to aid decision making. This application focus, together with Excel spreadsheet add-ins, provides a complete learning resource for students.

Περιεχόμενα

Introduction to Managerial Statistics 2
20
Graphs and Tables
24
Summary Measures 72
116
Getting the Right Data in Excel
124
Complex Queries with the Advanced Filter
147
Importing External Data from Access
157
Web Queries
171
Probability and Probability Distributions
178
EuroWatch Company
295
Decision Making Under Uncertainty
298
Elements of a Decision Analysis
301
Sampling and Sampling Distributions
376
Confidence Interval Estimation
422
Hypothesis Testing
486
Statistical Process Control
546
Analysis of Variance and Experimental Design
608

Probability and Probability Distributions
179
Distribution of a Single Random Variable
187
Normal Binomial and Poisson Distributions
242
7
244
Applications of the Binomial Distribution
270
The Poisson Distribution
282
Conclusion
289
Estimating Relationships
654
Statistical Inference
722
Discriminant Analysis and Logistic Regression
797
Time Series Analysis and Forecasting
836
Statistical Reporting
906
References
926
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Σχετικά με τον συγγραφέα (2000)

S. Christian Albright received his B.S. degree in mathematics from Stanford in 1968 and his Ph.D. in operations research from Stanford in 1972. Since then, he has been teaching in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University. He has taught courses in management science, computer simulation, and statistics to all levels of business students: undergraduates, MBAs, and doctoral students. His current interest is in spreadsheet modeling, including development of VBA applications in Excel. Dr. Albright has published more than 20 articles in leading operations research journals in the area of applied probability. He has also published a number of successful textbooks, including DATA ANALYSIS AND DECISION MAKING, DATA ANALYSIS FOR MANAGERS, and SPREADSHEET MODELING AND APPLICATIONS. Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now a Professor of Decision and Information Sciences at the Bauer College at the University of Houston. He has won more than 45 teaching awards, including the school-wide MBA award six times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance, sports, and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks as OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, DATA ANALYSIS FOR MANAGERS, SPREADSHEET MODELING AND APPLICATIONS, MATHLETICS, DATA ANALYSIS AND BUSINESS MODELING WITH EXCEL 2013, MARKETING ANALYTICS, and FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. He received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale. Christopher J. Zappe earned his B.A. in Mathematics from DePauw University in 1983 and his M.B.A. and Ph.D. in Decision Sciences from Indiana University in 1987 and 1988, respectively. Since 1993, Professor Zappe has been serving as an associate professor in the decision sciences area of the Department of Management at Bucknell University (Lewisburg, PA). He has published articles in scholarly journals such as Managerial and Decision Economics, OMEGA, Naval Research Logistics, and Interfaces.

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