Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains-but does not overemphasize-mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details. Provides users with a conceptual, realistic, and matter-of-fact approach to managerial statisticsOffers an accessible approach to teach present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand concepts and to interpret resultsFeatures updated examples and graphics (200+ figures) to illustrate important applied uses and current business trendsIncludes robust ancillary instructional materials such as the authors' STATPAD software package, an instructor's manual, lecture slides, and data files to save you time when preparing for class INDICE: 1.) Introduction: Defining The Role Of Statistics In Business2.) Data Structures: Classifying The Various Types Of Data Sets3.) Histograms: Looking At The Distribution Of Data4.) Landmark Summaries: Interpreting Typical Values And Percentiles5.) Variability: Dealing With Diversity6.) Probability: Understanding Random Situations7.) Random Variables: Working With Uncertain Numbers8.) Random Sampling: Planning Ahead For Data Gathering9.) Confidence Intervals: Admitting That Estimates Are Not Exact10.) Hypothesis Testing: Deciding Between Reality And Coincidence11.) Correlation And Regression: Measuring And Predicting Relationships12.) Multiple Regression: Predicting One Factor From Several Others13.) Report Writing: Communicating The Results Of A Multiple Regression14.) Time Series: Understanding Changes Over Time15.) ANOVA: Testing For Differences Among Many Samples, And Much More16.) Nonparametrics: Testing With Ordinal Data Or Nonnormal Distributions17.) Chi-Squared Analysis: Testing For Patterns In Qualitative Data18.) Quality Control: Recognizing And Managing Variation
- ISBN: 978-0-12-804250-2
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 650
- Fecha Publicación: 01/08/2016
- Nº Volúmenes: 1
- Idioma: Inglés