Even You Can Learn Statistics and Analytics (PDF)
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Thought you couldn't learn statistics? You can - and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics - for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you'll need for finance, marketing, quality, science, social science, and more - one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever - all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models - including complete solutions you can put right to work! Learn how to do all this, and more:
- Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
- Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
- Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
- Use probability and probability distributions
- Work with sampling distributions and confidence intervals
- Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
- Perform powerful regression analysis and modeling
- Use multiple regression to develop models that contain several independent variables
- Master specific statistical techniques for quality and Six Sigma programs
Hate math? No sweat. You'll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!
He also is the author of Statistics for Six Sigma Green Belts and Champions, published by Financial Times-Prentice-Hall. He is coauthor of Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions also published by Financial Times-Prentice-Hall, and Quality Management Third Ed., McGraw-Hill-Irwin. He is also the author of Video Review of Statistics and Video Review of Probability, both published by Video Aided Instruction. He has published articles in various journals including Psychometrika, The American Statistician, Communications in Statistics, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist and has given numerous talks at American Statistical Association, Decision Sciences Institute, and Making Statistics More Effective in Schools of Business conferences. While at Baruch College, Dr. Levine received numerous awards for outstanding teaching.
David F. Stephan is an independent instructional technologist. During his more than 20 years teaching at Baruch College-CUNY, he pioneered the use of computer-equipped classrooms and interdisciplinary multimedia tools, was an associate director of a U.S. Department of Education FIPSE project that applied interactive media to support instruction and
- Autoren: David M. Levine , David F. Stephan
- 2014, 3. Auflage, 384 Seiten, Englisch
- Verlag: Pearson ITP
- ISBN-10: 0133382672
- ISBN-13: 9780133382679
- Erscheinungsdatum: 24.11.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 10 MB
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