- Taschenbuch: 370 Seiten
- Verlag: Pearson Financial Times; Auflage: 2 (17. August 2009)
- Sprache: Englisch
- ISBN-10: 0137010591
- ISBN-13: 978-0137010592
- Größe und/oder Gewicht: 17,8 x 2,1 x 23,2 cm
- Durchschnittliche Kundenbewertung: 2 Kundenrezensionen
Nr. 510.828 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Nr. 396 in Fremdsprachige Bücher > Business, Karriere & Geld > Management & Führung > Statistik
- Nr. 1830 in Fremdsprachige Bücher > Wissenschaft > Mathematik > Angewandte Mathematik > Wahrscheinlichkeit & Statistik
- Nr. 7709 in Fremdsprachige Bücher > Business, Karriere & Geld > Wirtschaftswissenschaften
- Komplettes Inhaltsverzeichnis ansehen
Even You Can Learn Statistics (Englisch) Taschenbuch – 17. August 2009
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Über den Autor und weitere Mitwirkende
David M. Levine, a much-honored innovator in statistics education, is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (CUNY). His bestselling books include Statistics for Managers Using Microsoft Excel, Basic Business Statistics, Business Statistics: A First Course, Statistics for Six Sigma Green Belts with Minitab and JMP, Six Sigma for Green Belts and Champions, and Design for Six Sigma for Green Belts and Champions. David F. Stephan is an independent instructional technologist. As a computer information systems instructor at Baruch College (CUNY), he pioneered the use of computers in classrooms, devised interdisciplinary multimedia tools, and created techniques for teaching computer applications in a business context. The developer of PHStat2, the Pearson Education statistics add-in system for Microsoft Excel, he has coauthored several books with David M. Levine.
If you cannot bear to look at an equation, you can avoid those with this book.
If you learn best by doing, the book is filled with instructions for how to do practice problems using either Excel or a TI 83 or 84 calculator.
If you like to test your understanding of material, each chapter comes with a quiz to help you see what you grasped and what you missed.
I was particularly impressed by the breadth of coverage in the book. Almost any statistical term you've heard of or could bump into is covered somewhere in the book.
And for those who like math, there are simple sections showing the equations involved. But these sections are optional for those who prefer to avoid math.
In addition, the authors clearly favor the idea of keeping it simple. I cannot imagine conveying these ideas in any simpler or more complete way than here.
The book is also a great value.
Even if your professor or boss insisted you buy a standard text on the subject, get this one to help you really learn to apply statistics. It can make a world of difference!
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The first thing I noticed was the book is horribly formatted. A number of places the embedded formatting commands are displayed. There are chapter numbers and paragraph numbers, but the way different levels of headings are formatted don't make it real obvious what level one is at. A lot of key words are capitalized and bolded in a font that makes them stand out more than the section headings that are smaller and lower case. Overall, the way the book is formatted makes it hard for me to follow.
I went back to it several times hoping for something out of it that would be helpful to me, but it was not to be. I think the formatting issues are almost insurmountable for me. It made the content all but impossible for me to deal with.
It seems like a good idea that maybe a decent editor could reformat and make more usable, but in its current form I am not going to spend any more time on it.
Yet, I often use stats (descriptive) at work. In fact, I was recently thrusted into an analytical role at my job. Therefore, I desperately need a Stats primer. Enter "Even You Can Learn Statistics." The authors do a fantastic job weaving all aspects of descriptive and inferential stats in less than 300 pages. Furthermore, the book is chockfull of examples and definitions. The authors explain how to work each problem longhand, calculator, and via a spreadsheet.
Indeed, there's a lot of info to digest, but the authors slowly walk you through each steps (no drinking from a firehouse). Each chapter ends with a summary and quiz (to test your knowledge).
As Big Data becomes more prevalent, statistics—especially the inferential kind—will become a required skill. Buy the book. If nothing else, you'll become a quant by default. #stayrelevant
This was a free Kindle download. "You get what you pay for" is a familiar adage, and, even though I've gotten many free Kindle books that I've loved, this will teach me to check the reviews carefully first. What a waste of time.