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268 Summarizing Data Chapter 8 Summarizing Columns • Median Is the 50th percentile, which is the value where half the data are below and half are above or equal to the 50th quantile (median). • Quantiles Gives the value at which the specific percentage of the argument is less than or equal to. For example, 75% of the data is less than the 75th quantile. The summary window has an edit box for entering the quantile percentage you want. Example of Adding a Statistics Column Suppose a researcher is working with Companies.jmp, which groups companies by Type and Size. Follow along with this next example by opening Companies.jmp from the Sample Data folder that was installed when you installed JMP. Suppose the researcher wants to: • Create a table that shows the average profit per employee for small, medium, and big computer companies and small, medium, and big pharmaceutical companies (in other words, a table that contains a row for each size company and a column for the mean profit per employee of each type of company). • Create it so the cells hold the mean for the subgroup (defined by the intersection of the row and column). The researcher first selects Tables > Summary, and then selects Size Co as the grouping variable because he wants the values in that column to become rows in the new table. Then he highlights profit/ emp and clicks the Statistics button and selects Mean from the drop-down menu to get the mean of profit/emp. Then he highlights type and clicks the Subgroup button to identify it as the subgroup variable. This tells JMP to create a column for the average profit per employee (Mean(profit/emp)) for each level (computer, pharmaceutical) of subgroup variable (type). The result is the summary table shown in Figure 8.8.
Chapter 8 Summarizing Data 269 Tabulating Data Figure 8.8 Summary Statistics for a Subgroup 8 Summarizing Data Tabulating Data Use the Tables > Tabulate command for constructing tables of descriptive statistics. The tables are built from grouping columns, analysis columns, and statistics keywords. Through its interactive interface for defining and modifying tables, the Tabulate command provides a powerful and flexible way to present summary data in tabular form, as shown in Figure 8.9. Figure 8.9 Examples of Tables
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Release 8 User Guide Second Edition
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Contents JMP User Guide 1 Prelimina
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iii Data Filter Control Panel . . .
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v Editing Data Table Rows using the
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vii Example of Tabulating Data . .
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ix Closing and Saving Sessions . .
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xi C The Analyze Menu . . . . . . .
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xiv Linda Blazek, Michael Friendly,
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Chapter 1 Preliminaries JMP Statist
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Chapter 1 Preliminaries 3 What You
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Chapter 1 Preliminaries 5 Learning
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Chapter 2 Creating and Opening File
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. Chapter 2 Creating and Opening Fi
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Contents Elements of JMP Data Table
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50 Entering, Editing, and Managing
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Contents Saving Data Tables . . . .
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110 Saving Tables, Reports, and Ses
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Contents Assigning Characteristics
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132 Properties and Characteristics
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All analyses produce report windows
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Chapter 6 Output Reports 171 Editin
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Chapter 6 Output Reports 177 Printi
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Chapter 6 Output Reports 179 Saving
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Chapter 6 Output Reports 181 Format
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Chapter 6 Output Reports 183 Format
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Chapter 6 Output Reports 185 Select
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Chapter 6 Output Reports 187 Using
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Chapter 6 Output Reports 195 Alteri
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Chapter 6 Output Reports 211 Adding
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Page 280 and 281: Contents Summarizing Columns. . . .
Page 282 and 283: 264 Summarizing Data Chapter 8 Summ
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Page 288 and 289: 270 Summarizing Data Chapter 8 Tabu
Page 304 and 305: Contents Creating a Formula . . . .
Page 306 and 307: 288 Formula Editor Chapter 9 Refere
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318 Formula Editor Chapter 9 Custom
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320 Formula Editor Chapter 9 Custom
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322 Formula Editor Chapter 9 Exampl
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328 Formula Editor Chapter 9 Glossa
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Contents Changing Startup Preferenc
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332 Personalizing JMP Chapter 10 Ch
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344 Personalizing JMP Chapter 10 Cu
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346 Personalizing JMP Chapter 10 Sp
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348 Personalizing JMP Chapter 10 Ad
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352 Personalizing JMP Chapter 10 Sp
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354 Personalizing JMP Chapter 10 Pe
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366 Personalizing JMP Chapter 10 Me
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374 Personalizing JMP Chapter 10 Sa
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376 Personalizing JMP Chapter 10 Sa
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Contents Connecting to SAS. . . . .
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380 SAS Integration Chapter 11 Conn
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382 SAS Integration Chapter 11 Conn
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384 SAS Integration Chapter 11 Open
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390 SAS Integration Chapter 11 Runn
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392 SAS Integration Chapter 11 Subm
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394 SAS Integration Chapter 11 Retr
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Appendix A JMP Starter A Review of
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Appendix A JMP Starter 399 Overview
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Appendix A JMP Starter 401 The Basi
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Appendix A JMP Starter 403 The Mode
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Appendix A JMP Starter 405 The Mult
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Appendix A JMP Starter 407 The Grap
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Appendix A JMP Starter 409 The Grap
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Appendix A JMP Starter 411 The Meas
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Appendix A JMP Starter 413 The DOE
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Appendix A JMP Starter 415 The Tabl
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Appendix A JMP Starter 417 The SAS
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Contents The JMP Menu (Macintosh On
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422 Main Menu Appendix B The File M
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424 Main Menu Appendix B The Edit M
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426 Main Menu Appendix B The Edit M
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428 Main Menu Appendix B The Rows M
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430 Main Menu Appendix B The Cols M
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432 Main Menu Appendix B The DOE Me
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434 Main Menu Appendix B The Analyz
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440 Main Menu Appendix B The Graph
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442 Main Menu Appendix B The Graph
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444 Main Menu Appendix B The Tools
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446 Main Menu Appendix B The View M
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448 Main Menu Appendix B The Window
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450 Main Menu Appendix B The Help M
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452 Main Menu Appendix B The Layout
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Contents Row Functions . . . . . .
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456 Formula Functions Reference App
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Index JMP User Guide Symbols 468 !
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Index 497 levels in a report 171 re
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Index 499 delete expression 294 del
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Index 501 conditional clauses 302 c
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Index 503 range check 53 red triang
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Index 505 Marker functions 308 Mark
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Index 507 operating characteristic
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Index 509 report tables 183 reports
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Index 511 shapes. See drawing tools
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Index 513 units 160 univariate stat
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