Now fully updated for big data analytics and the newest applications, Even You Can Learn Statistics and Analytics, Forth Edition is the practical, up-to-date introduction to statistics an analytics--for everyone! One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic 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 in business, school, or anywhere else. 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. Thought you couldn't learn statistics and analytics? You can--and you will.
A Guide for Everyone Who Has Ever Been Afraid of Statistics, Enhanced Edition David M. Levine, David F. Stephan. Acknowledgments We would especially like to thank the staff at Financial Times/Pearson: Jim Boyd for making this book a ...
This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math?
This edition contains more practical examples than ever - all updated for the newest versions of Microsoft Excel.
With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design ...
Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
Use their statistics from the year they accomplished the streak. e. ... Minor League Consecutive—Game Hitting Streaks Having examined the 56-game hitting streak ofloe DiMaggio, it is natural to ask the following question: What is the ...
In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian ...
After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
Cox, D. R. and Oakes, D. (1984), Analysis of Survival Data, Chapman & Hall, London. Everitt, B. S. (1994), A Handbook of Statistical Analyses Using S-PLUS, Chapman & Hall, London. Hájek, J., Šidák, Z., and Sen, P. K. (1999), ...