Elementary statistics using JMP

Acknowledgments ix 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 Chapter 7 Estimating the Mean 173 Using One Number to Estimate the Mean 174 Effect of Sample Size 175 Effect of Population Variability 178 The Distribution of Sample Averages 179 Getting Confidence Intervals for the Mean 184 Summaries 189 Exercises 190 Part 3 Comparing Groups 191 Chapter 8 Comparing Two Groups 193 Deciding between Independent and Paired Groups 195 Summarizing Data from Two Independent Groups 196 Summarizing Data from Paired Groups 199 Building Hypothesis Tests to Compare Two Groups 205 Performing the Two-Sample t-test 207 Performing the Wilcoxon Rank Sum Test 220 Enhancing the Two-Sample Graph 224 Performing the Paired-Difference t-test 228 Performing the Wilcoxon Signed Rank Test 235 Summaries 239 Exercises 243 Special Topic: Paired Data in a Single Column 246 Chapter 9 Comparing More Than Two Groups 249 Summarizing Data from Multiple Groups 251 Building Hypothesis Tests to Compare More Than Two Groups 257 Performing a One-way Analysis of Variance 259 Analysis of Variance with Unequal Variances 266 Performing a Kruskal-Wallis Test 270 Enhancing JMP Graphs 273 Multiple Comparison Procedures 274 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 Chapter 7 Estimating the Mean 173 Using One Number to Estimate the Mean 174 Effect of Sample Size 175 Effect of Population Variability 178 The Distribution of Sample Averages 179 Getting Confidence Intervals for the Mean 184 Summaries 189 Exercises 190 Part 3 Comparing Groups 191 Chapter 8 Comparing Two Groups 193 Deciding between Independent and Paired Groups 195 Summarizing Data from Two Independent Groups 196 Summarizing Data from Paired Groups 199 Building Hypothesis Tests to Compare Two Groups 205 Performing the Two-Sample t-test 207 Performing the Wilcoxon Rank Sum Test 220 Enhancing the Two-Sample Graph 224 Performing the Paired-Difference t-test 228 Performing the Wilcoxon Signed Rank Test 235 Summaries 239 Exercises 243 Special Topic: Paired Data in a Single Column 246 Chapter 9 Comparing More Than Two Groups 249 Summarizing Data from Multiple Groups 251 Building Hypothesis Tests to Compare More Than Two Groups 257 Performing a One-way Analysis of Variance 259 Analysis of Variance with Unequal Variances 266 Performing a Kruskal-Wallis Test 270 Enhancing JMP Graphs 273 Multiple Comparison Procedures 274 Summarizing with an Example 293 Summary 299 Exercises 302 Part 4 Fitting Lines to Data 305 Chapter 10 Correlation and Regression 307 Summarizing Multiple Continuous Variables 309 Calculating Correlation Coefficients 316 Performing Straight-Line Regression 320 Fitting a Straight Line Using JMP 324 Summarizing Straight-Line Regression 335 Fitting Curves 336 Regression with Two or More Independent Variables 346 Summaries 353 Exercises 357 Chapter 11 Basic Regression Diagnostics 359 Concepts in Plotting Residuals 360 Creating Residuals Plots for the Energy Data 363 Creating Residuals Plots for the Engine Data 375 Using the Lack Of Fit Report 384 Testing the Regression Assumption for Errors 388 Summaries 392 Exercises 396 Special Topic: Leverage Plots 397 Part 5 Data in Summary Tables 401 Chapter 12 Creating and Analyzing Contingency Tables 403 Defining Contingency Tables 404 Summarizing Raw Data in Tables 405 Creating a JMP Contingency Table from an Existing Summary Table 411 Creating Contingency Tables for Several Variables 414 Performing Tests for Independence 419 Measures of Association with Ordinal Variables 424 Summaries 429 Exercises 432 Special Topic: Statistical Summary Tables 434 Appendix 1 Further Reading 437 Statistics References 437 JMP Documentation 440 Index 441