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, soc 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!
Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics
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, soc 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!
Compare
James Carter –
Already familiar with the ins and outs of statistics routinely taught in universities, I gave Even You Can Learn Statistics a cursory look on a plane ride since I got the PDF file for free. I think it is not bad at all; the definitions are clearly laid out and filled with conceptual discussions. The formulas are given out in an organized format. In so many ways, Even You Can Learn Statistics feels more like a Cliffs Review than a full workbook. It does have a nice review at the end of chapters w Already familiar with the ins and outs of statistics routinely taught in universities, I gave Even You Can Learn Statistics a cursory look on a plane ride since I got the PDF file for free. I think it is not bad at all; the definitions are clearly laid out and filled with conceptual discussions. The formulas are given out in an organized format. In so many ways, Even You Can Learn Statistics feels more like a Cliffs Review than a full workbook. It does have a nice review at the end of chapters with very relevant questions. So, I recommend the book for those who are already familiar with it. The others who are not should be directed to The Humongous Book of Statistics Problems or Schaum's Outline of Beginning Statistics. All in all, Even You Can Learn Statistics does the job well, and it looks perfectly acceptable to me.
Yasz Shaikh –
Daneel Lynn –
CD –
Bryson0083 –
Maciej Czarniawski –
Martin Kenley –
Rajesh Pillai –
Meby Lesnanda –
vineet tripathi –
Chris –
Naifa Almulhem –
Sava Raba –
Jake –
Kevin Roessger –
Zia Ullah –
Rachael F –
Katelyn –
Jason Reynolds –
Vinuta –
Amy Poor –
Narayan Datta –
N Pujara –
Hank Williams –
Bhagath Gottipati –
John –
Bình Lê –
Goh Kheng Hua –
Ashwini –
Plemelle –
CHINTAN PUROHIT –
Eric Szakacs –
Frank –
Eric Baumgartner –
Voc –