Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains-but does not overemphasize-mathematical correctness. The book offers a deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This 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 the functional areas within Business such as finance, accounting, and marketing. It is well written and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details. User-friendly, lively writing styleSeparate writing chapter aids instructors in teaching how to explain quantitative analysisOver 200 carefully-drawn charts and graphs show how to visualize data.Data mining is a theme that appears in many chapters, often featuring a large database (included on the website) of characteristics of 20,000 potential donors to a worthy cause and the amount actually given in response to a mailingMany of the examples and problems in the sixth edition have been updated with more recent data sets, and the ever-changing Internet continues to be featured as a data sourceEach chapter begins with an overview, showing why the subject is important to business, and ends with a comprehensive summary, with key words, questions, problems, database exercises, projects, and cases in most chaptersAll details are technically accurate (Professor Siegel has a PhD in Statistics from Stanford University and has given presentations on exploratory data analysis with its creator) while the book concentrates on the understanding and use of statistics by managersFeatures that have worked well for students and instructors in the first five editions have been retained 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 VARIATIONApp A.) EMPLOYEE DATABASEApp B.) DONATIONS DATABASE App C.) SELF-TEST: SOLUTIONS TO SELECTED PROBLEMS AND DATABASE EXERCISES App D.) STATISTICAL TABLESApp E.) STATPAD QUICK REFERENCE GUIDE
- ISBN: 978-0-12-810181-0
- Editorial: Academic Press
- Encuadernacion: Rústica
- Fecha Publicación: 30/10/2017
- Nº Volúmenes: 1
- Idioma: Inglés