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210123 ||| eng |
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|a 9781484201848
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|a HD30.23
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|a Kenny, Peter
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|a Better business decisions from data
|b statistical analysis for professional success
|c Peter Kenny
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| 260 |
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|a Berkeley, CA, New York, NY
|b Apress, Distributed to the Book trade worldwide by Springer
|c 2014
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| 300 |
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|a xiii, 246 pages
|b illustrations
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|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
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|a Includes bibliographical references and index
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|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
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|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
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|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
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|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
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| 653 |
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|a BUSINESS & ECONOMICS / Management Science / bisacsh
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| 653 |
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|a BUSINESS & ECONOMICS / Management / bisacsh
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| 653 |
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|a BUSINESS & ECONOMICS / Organizational Behavior / bisacsh
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| 653 |
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|a Decision making / Statistical methods
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| 653 |
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|a Prise de décision / Méthodes statistiques
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| 653 |
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|a Decision making / Statistical methods / fast
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| 653 |
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|a BUSINESS & ECONOMICS / Industrial Management / bisacsh
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
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|a Expert's voice in data analysis
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| 024 |
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|a 10.1007/978-1-4842-0184-8
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| 776 |
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|z 9781484201848
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| 776 |
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|z 148420185X
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| 776 |
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|z 1484201841
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| 776 |
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|z 9781484201855
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781484201848/?ar
|x Verlag
|3 Volltext
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|a 153.83
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|a 658
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|a 658.4/033
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|a 500
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|a 302.3
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|a 670
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|a 300
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|a 330
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| 520 |
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|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
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