<p></p><p>2007年9月3日发行</p><p>Learn how to perform basic statistical analyses using the powerful JMP <br/>software. This reader-friendly guide bridges the gap between statistics <br/>texts and JMP documentation. Author Sandra Schlotzhauer opens with an <br/>explanation of the basics of JMP data tables, demonstrating how to use <br/>JMP for descriptive statistics and graphs. The author continues with a <br/>lucid discussion of fundamental statistical concepts, including <br/>normality and hypothesis testing. Using a step-by-step approach, she <br/>shows analyses for comparing two groups, comparing multiple groups, <br/>fitting regression equations, and exploring contingency tables. For each <br/>analysis, the author clearly explains assumptions, the statistical <br/>approach, the JMP steps and results, and how to make conclusions from <br/>the results. Understand how to interpret both the graphs and text <br/>reports, as well as how to customize JMP results to meet your needs. <br/>Packed with examples from a broad range of industries, this text is <br/>ideal for novice to intermediate JMP users. Prior statistical knowledge, <br/>JMP experience, or programming skills are not required. </p><p>Part 1 The Basics 1<br/>Chapter 1 Introduction 3<br/>Purpose 4<br/>Audience 4<br/>What This Book Is and Isn’t 4<br/>How This Book Is Organized 5<br/>How to Use This Book 9<br/>Using JMP or JMP SE 9<br/>Chapter 2 Getting Started 11<br/>JMP and Your Computer 12<br/>Explaining JMP Terms 13<br/>Starting JMP 14<br/>Displaying a Simple Example 14<br/>Getting Help 17<br/>Exiting JMP 19<br/>Chapter 3 Using Data Tables 21<br/>Using Data Tables 22<br/>What Is a Data Table? 22<br/>Creating the Speeding Ticket Data Table 24<br/>Opening an Existing JMP Data Table 29<br/>Importing Data 29<br/>Understanding Data Tables 36<br/>Working with Columns 41<br/>Working with Rows 48<br/>Understanding Data Type and Modeling Type 50</p><p>Ordering Values 53<br/>Adding Value Labels 56<br/>Printing a Data Table 57<br/>Sorting a Data Table 60<br/>Summary 62<br/>Exercises 70<br/>Chapter 4 Summarizing Data 71<br/>Checking Data for Errors 73<br/>Using Distribution for a Continuous Variable 73<br/>Using Distribution for Multiple Variables 89<br/>Interacting with Distribution Results 94<br/>Customizing Reports 100<br/>Summaries 104<br/>Exercises 111<br/>Chapter 5 Graphing Data and Printing Results 113<br/>Creating Custom Bar Charts 114<br/>Creating Treemaps 122<br/>Printing Results 127<br/>Saving Results to Journals 129<br/>Summaries 134<br/>Exercises 138<br/>Part 2 Statistical Background 139<br/>Chapter 6 Understanding Fundamental Statistical<br/>Concepts 141<br/>Populations and Samples 142<br/>The Normal Distribution 146<br/>Parametric and Nonparametric Statistical Methods 150<br/>Testing for Normality 150<br/>Building a Hypothesis Test 164<br/>Statistical and Practical Significance 166<br/>Summaries 170<br/>Exercises 172</p><p><br/><br/> </p>
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