<P style="MARGIN: 0px">Now fully updated for "big data" analytics and the newest applications, <B><I>Even You Can Learn Statistics and Analytics, Third Edition</I></B> is the practical, up-to-date introduction to statistics an analytics &ndash; for <I>everyone!</I> </P>  <P style="MARGIN: 0px">&nbsp;</P>  <P style="MARGIN: 0px">One easy step at a time, you&rsquo;ll learn all the statistical techniques you&rsquo;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&rsquo;ll need. This edition contains more practical examples than ever &ndash; all updated for the newest versions of Microsoft Excel. You&rsquo;ll find downloadable practice files, templates, data sets, and sample models &ndash; including complete solutions you can put right to work in business, school, or anywhere else. Learn how to do all this, and more:&nbsp;&nbsp;</P>  <UL>  <LI>  <DIV style="MARGIN: 0px">Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge </DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Use probability and probability distributions</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Work with sampling distributions and confidence intervals</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Test hypotheses with Z, t, chi-square, ANOVA, and other techniques</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Perform powerful regression analysis and modeling</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Use multiple regression to develop models that contain several independent variables</DIV></LI>  <LI>  <DIV style="MARGIN: 0px">Master specific statistical techniques for quality and Six Sigma programs&nbsp;</DIV></LI></UL>  <P style="MARGIN: 0px">Hate math? No sweat. You&rsquo;ll be amazed at how little you need. Like math? Optional &ldquo;Equation Blackboard&rdquo; sections reveal the mathematical foundations of statistics right before your eyes! Thought you couldn&rsquo;t learn statistics? You can &ndash; and you will! </P>

<ul>
    <li>Introduction: The <i>Even You Can Learn Statistics and Analytics</i> Owners Manual </li>
    <li>Chapter 1: Fundamentals of Statistics </li>
    <li>Chapter 2: Presenting Data in Tables and Charts </li>
    <li>Chapter 3: Descriptive Statistics </li>
    <li>Chapter 4: Probability&nbsp; </li>
    <li>Chapter 5: Probability Distributions </li>
    <li>Chapter 6: Sampling Distributions and Confidence Intervals </li>
    <li>Chapter 7: Fundamentals of Hypothesis Testing </li>
    <li>Chapter 8: Hypothesis Testing: Z and t Tests </li>
    <li>Chapter 9: Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA) </li>
    <li>Chapter 10: Simple Linear Regression </li>
    <li>Chapter 11: Multiple Regression </li>
    <li>Chapter 12: Fundamentals of Analytics&nbsp; </li>
    <li>Chapter 13: Descriptive Analytic </li>
    <li>Chapter 14: Predictive Analytics </li>
    <li>Appendix A: Microsoft Excel Operation and Configuration&nbsp; </li>
    <li>Appendix B: Review of Arithmetic and Algebra </li>
    <li>Appendix C: Statistical Tables </li>
    <li>Appendix D: Spreadsheet Tips </li>
    <li>Appendix E: Advanced Techniques </li>
    <li>Appendix F: Documentation for Downloadable Files </li>
    <li>Glossary </li>
    <li>Index </li>
</ul>

Introduction: The <i>Even You Can Learn Statistics and Analytics</i> Owners Manual&nbsp;&nbsp;&nbsp;&nbsp; xi<br>Chapter 1: Fundamentals of Statistics&nbsp;&nbsp;&nbsp;&nbsp; 1<br>Chapter 2: Presenting Data in Tables and Charts&nbsp;&nbsp;&nbsp;&nbsp; 15<br>Chapter 3: Descriptive Statistics&nbsp;&nbsp;&nbsp;&nbsp; 37<br>Chapter 4: Probability&nbsp;&nbsp;&nbsp;&nbsp; 67<br>Chapter 5: Probability Distributions&nbsp;&nbsp;&nbsp;&nbsp; 79<br>Chapter 6: Sampling Distributions and Confidence Intervals&nbsp;&nbsp;&nbsp;&nbsp; 113<br>Chapter 7: Fundamentals of Hypothesis Testing&nbsp;&nbsp;&nbsp;&nbsp; 137<br>Chapter 8: Hypothesis Testing: Z and t Tests&nbsp;&nbsp;&nbsp;&nbsp; 149<br>Chapter 9: Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 175<br>Chapter 10: Simple Linear Regression&nbsp;&nbsp;&nbsp;&nbsp; 203<br>Chapter 11: Multiple Regression&nbsp;&nbsp;&nbsp;&nbsp; 239<br>Chapter 12: Fundamentals of Analytics&nbsp;&nbsp;&nbsp;&nbsp; 257<br>Chapter 13: Descriptive Analytics&nbsp;&nbsp;&nbsp;&nbsp; 265<br>Chapter 14: Predictive Analytics&nbsp;&nbsp;&nbsp;&nbsp; 277<br>Appendix A: Microsoft Excel Operation and Configuration&nbsp;&nbsp;&nbsp;&nbsp; 293<br>Appendix B: Review of Arithmetic and Algebra&nbsp;&nbsp;&nbsp;&nbsp; 295<br>Appendix C: Statistical Tables&nbsp;&nbsp;&nbsp;&nbsp; 305<br>Appendix D: Spreadsheet Tips&nbsp;&nbsp;&nbsp;&nbsp; 333<br>Appendix E: Advanced Techniques&nbsp;&nbsp;&nbsp;&nbsp; 337<br>Appendix F: Documentation for Downloadable Files&nbsp;&nbsp;&nbsp;&nbsp; 345<br>Glossary&nbsp;&nbsp;&nbsp;&nbsp; 349<br>Index&nbsp;&nbsp;&nbsp;&nbsp; 357   

David M. Levine

David F. Stephan

Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics

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Even You Can Learn Statistics and Analytics: An Easy to Understand Guide

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Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics, 3rd edition

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