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+--- Thread: Even You Can Learn Statistics and Analytics An Easy to Understand Guide, 4th Edition (/Thread-Even-You-Can-Learn-Statistics-and-Analytics-An-Easy-to-Understand-Guide-4th-Edition)
Even You Can Learn Statistics and Analytics An Easy to Understand Guide, 4th Edition - ebooks1001 - 11-05-2024
![[Image: 9d9d94f5a5b20c98063da5ca9736953d.webp]](https://i124.fastpic.org/big/2024/1105/3d/9d9d94f5a5b20c98063da5ca9736953d.webp)
Free Download Even You Can Learn Statistics and Analytics
by David M. Levine;David F. Stephan;
English | 2024 | ISBN: 0137654766 | 393 pages | True PDF EPUB | 29.34 MB
THE GUIDE FOR ANYONE AFRAID TO LEARN STATISTICS & ANALYTICS UPDATED WITH NEW EXAMPLES & EXERCISES
This book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because they were too technical or too mathematical, this book is for you!
This edition delivers more everyday examples and end-of-chapter exercises and contains updated instructions for using Microsoft Excel. You'll use downloadable data sets and spreadsheet solutions, template-based solutions you can put right to work. Using this book, you will understand the important concepts of statistics and analytics, including learning the basic vocabulary of these subjects.
Create tabular and visual summaries and learn to avoid common charting errors
Gain experience working with common descriptive statistics measures including the mean, median, and mode; and standard deviation and variance, among others
Understand the probability concepts that underlie inferential statistics
Learn how to apply hypothesis tests, using Z, t, chi-square, ANOVA, and other techniques
Develop skills using regression analysis, the most commonly-used Inferential statistical method
Explore results produced by predictive analytics software
Choose the right statistical or analytic techniques for any data analysis task
Optionally, read the "Equation Blackboards," designed for readers who want to learn about the mathematical foundations of selected methods
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