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Learn how to perform basic statistical analyses using the powerful JMP
software. This reader-friendly guide bridges the gap between statistics
texts and JMP documentation. Author Sandra Schlotzhauer opens with an
explanation of the basics of JMP data tables, demonstrating how to use
JMP for descriptive statistics and graphs. The author continues with a
lucid discussion of fundamental statistical concepts, including
normality and hypothesis testing. Using a step-by-step approach, she
shows analyses for comparing two groups, comparing multiple groups,
fitting regression equations, and exploring contingency tables. For each
analysis, the author clearly explains assumptions, the statistical
approach, the JMP steps and results, and how to make conclusions from
the results. Understand how to interpret both the graphs and text
reports, as well as how to customize JMP results to meet your needs.
Packed with examples from a broad range of industries, this text is
ideal for novice to intermediate JMP users. Prior statistical knowledge,
JMP experience, or programming skills are not required.

Part 1 The Basics 1
Chapter 1 Introduction 3
Purpose 4
Audience 4
What This Book Is and Isn’t 4
How This Book Is Organized 5
How to Use This Book 9
Using JMP or JMP SE 9
Chapter 2 Getting Started 11
JMP and Your Computer 12
Explaining JMP Terms 13
Starting JMP 14
Displaying a Simple Example 14
Getting Help 17
Exiting JMP 19
Chapter 3 Using Data Tables 21
Using Data Tables 22
What Is a Data Table? 22
Creating the Speeding Ticket Data Table 24
Opening an Existing JMP Data Table 29
Importing Data 29
Understanding Data Tables 36
Working with Columns 41
Working with Rows 48
Understanding Data Type and Modeling Type 50

Ordering Values 53
Adding Value Labels 56
Printing a Data Table 57
Sorting a Data Table 60
Summary 62
Exercises 70
Chapter 4 Summarizing Data 71
Checking Data for Errors 73
Using Distribution for a Continuous Variable 73
Using Distribution for Multiple Variables 89
Interacting with Distribution Results 94
Customizing Reports 100
Summaries 104
Exercises 111
Chapter 5 Graphing Data and Printing Results 113
Creating Custom Bar Charts 114
Creating Treemaps 122
Printing Results 127
Saving Results to Journals 129
Summaries 134
Exercises 138
Part 2 Statistical Background 139
Chapter 6 Understanding Fundamental Statistical
Concepts 141
Populations and Samples 142
The Normal Distribution 146
Parametric and Nonparametric Statistical Methods 150
Testing for Normality 150
Building a Hypothesis Test 164
Statistical and Practical Significance 166
Summaries 170
Exercises 172

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