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Better business decisions from data : statistical analysis for professional success /
This book discusses what statistics are really saying or not saying. It shows how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. This book lays a foundation for understanding the importance and value...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress,
2014.
|
| Colección: | Expert's voice in data analysis.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Kenny, Peter, |d 1935- |e author. | |
| 245 | 1 | 0 | |a Better business decisions from data : |b statistical analysis for professional success / |c Peter Kenny. |
| 264 | 1 | |a Berkeley, CA : |b Apress, |c 2014. | |
| 264 | 2 | |a New York, NY : |b Distributed to the Book trade worldwide by Springer | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (xiii, 246 pages) : |b illustrations | ||
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| 490 | 1 | |a Expert's voice in data analysis | |
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed July 11 2014). | |
| 520 | |a This book discusses what statistics are really saying or not saying. It shows how to use statistical data to improve small, every-day management judgments as well as major business decisions with potentially serious consequences. This book lays a foundation for understanding the importance and value of big data and shows how mined data can aid business opportunity. Topics covered include: how data is collected, sampled, and best interpreted, to obtain information, with known reliability, for the basis of decision making; the basics of probability, sampling, reliability, regression, distribution and other statistical techniques essential for decision making in all aspects of business; how statistics can help assess the probability of a successful outcome; how to make effective forecasts based on the data at hand; why certainty is illusive and statistical results can be misleading; how to spot the misuse or abuse of statistical evidence in advertisements, reports, and proposals; how to commission a statistical analysis and what it can--and can't--do. This book is a guide for managers and professionals in business and industry; for students of disciplines that require some knowledge of statistics, economics, finance, political science, physics, biology, and more; and for general readers who simply wish to have a more informed view of statistics. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction; Part I:Uncertainties; Chapter 1: The Scarcity of Certainty; Chapter 2: Sources of Uncertainty; Statistical Data; Processing the Data; Chapter 3: Probability; Probability Defined; Combining Probabilities; Conditional Probability; Part II:Data; Chapter 4: Sampling; Problems with Sampling; Repeated Measurements; Simple Random Sampling; Systematic Sampling; Stratified Random Sampling; Cluster Sampling; Quota Sampling; Sequential Sampling; Databases; Resampling Methods; Data Sequences; Chapter 5: The Raw Data; Descriptive or Numerical; Format of Numbers; Rounding. | |
| 505 | 8 | |a PercentagesSimple Index Numbers; Part III:SamplesThe; Chapter 6: Descriptive Data; Diagrammatic Representation; Proportion; Chapter 7: Numerical Data; Diagrammatic Representation; Normally Distributed Data; Distribution Type; Averages; Spread of Data; Grouped Data; Pooling and Weighting; Estimated Population Properties; Confidence Intervals; Part IV:Comparisons; Chapter 8: Levels of Significance; Chapter 9: General Procedure for Comparisons; Chapter 10: Comparisons with Numerical Data; Single Value; Mean of a Sample; Difference between Variances; Difference between Means; Means of Paired Data. | |
| 505 | 8 | |a Multiple SamplesChapter 11: Comparisons with Descriptive Data; Single Proportion; Difference between Proportions; Ranks; Ranks of Paired Data; Duplicate Ranks; Chapter 12: Types of Error; Part V:Relationships; Chapter 13: Cause and Effect; Chapter 14: Relationships with Numerical Data; Linear Relationships; Nonlinear Relationships; Irregular Relationships; Chapter 15: Relationships with Descriptive Data; Nominal Data; Ordinal Data; Chapter 16: Multivariate Data; Multiple Regression; Analysis of Variance; Latin and Graeco-Latin Squares; Multidimensional Contingency Tables. | |
| 505 | 8 | |a Multivariate Analysis of VarianceConjoint Analysis; Proximity Maps; Structural Equation Modeling; Association: Some Further Methods; Part VI:Forecasts; Chapter 17: Extrapolation; Chapter 18: Forecasting from Known Distributions; Uniform Distribution; Normal Distribution; Binomial Distribution; Poisson Distribution; Exponential Distribution; Geometric Distribution; Weibull Distribution; Chapter 19: Time Series; Regression; Autocorrelation; Exponential Smoothing; Chapter 20: Control Charts; Sampling by Variable; Sampling by Attribute; Chapter 21: Reliability; Basic Principles; Reliability Data. | |
| 505 | 8 | |a DistributionsPractical Complications; Part VII:Big Data; Chapter 22: Data Mining; The Growth of Data; Data Warehouses; Future Developments; Chapter 23: Predictive Analytics; Simple Rules; Decision Trees; Association; Clustering; Neural Networks; Ensembles; Chapter 24: Getting Involved with Big Data; Applications; The Big Players; The Smaller Options; Chapter 25: Concerns with Big Data; Security; Privacy; Skills Shortage; A New Concept; Chapter 26: References and Further Reading; References; Further Reading; Index; Preface; About the Author; Acknowledgments. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Decision making |x Statistical methods. | |
| 650 | 6 | |a Prise de décision |x Méthodes statistiques. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Decision making |x Statistical methods |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Kenny, Peter, 1935- |t Better business decisions from data |z 9781484201848 |w (OCoLC)883394703 |
| 830 | 0 | |a Expert's voice in data analysis. | |
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