Basic Analysis and Graphing - SAS

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514 References Wadsworth, H. M., Stephens, K., Godfrey, A.B. (1986) Modern Methods for Quality Control and Improvement. John Wiley & Sons. Walker, S.H. and Duncan, D.B. (1967), “Estimation of the Probability of an Event as a Function of Several Independent Variables,” Biometrika 54. Wegman, E. J. (1990) “Hyperdimensional Data Analysis using Parallel Coordinates.” Journal of the American Statistical Association 85, pp. 664–675. Welch, B.L. (1951), “On the comparison of several mean values: an alternative approach,” Biometrika 38, 330–336. Western Electric Company (1956), Statistical Quality Control Handbook, currently referred to as the AT&T Statistical Quality Control Handbook. Westgard, J.O. (2002), Basic QC Practices, 2nd Edition. Madison, Wisconsin: Westgard QC Inc. Winer, B.J. (1971), Statistical Principals in Experimental Design, Second Edition, New York: McGraw–Hill, Inc. Wludyka, P.S. and Nelson, P.R. (1997), “An Analysis-of-Means- Type Test for Variances From Normal Populations”, Technometrics, 39:3, 274-285. Wold, S. (1994), “PLS for Multivariate Linear Modeling”, QSAR: Chemometric Methods in Molecular Design. Methods and Principles in Medicinal Chemistry. Wolfinger, R., Tobias, R., and Sall, J. (1994). Computing Gaussian likelihoods and their derivatives for general linear mixed models. SIAM J. Sci. Comput. 15, 6 (Nov. 1994), 1294-1310. Wright, S.P. and R.G. O’Brien (1988), “Power Analysis in an Enhanced GLM Procedure: What it Might Look Like,” SUGI 1988, Proceedings of the Thirteenth Annual Conference, 1097–1102, Cary NC: SAS Institute Inc. Ye, K. and Hamada, M. (2000) “Critical Values of the Lenth Method for Unreplicated Factorial Designs,” Journal of Quality Technology, 32, 57-66. Ye, K. Q., and Hamada, M.(2001) “A Step-Down Lenth Method for Analyzing Unreplicated Factorial Designs.” Journal of Quality Technology, 33, 140-152.
Index JMP Basic Analysis and Graphing Numerics 3D Correspondence Analysis option 195–204 3D Graph option 499 3D scatterplots, see Scatterplot 3D platform 5% Contours option 117 A Add Error Bars to Mean option 316, 319–320, 323 Add option 267 Aggregation options 390 Agreement Statistic option 188, 197, 212 All fits 57–81 All Graphs option 136 All Pairs, Tukey HSD test 147, 149–167 Analysis of Means charts 145–162 for Proportions option 188, 194–195 options 145–146 Analysis of Means Methods 134, 144–146 Analysis of Variance See also Oneway report 103–104, 141–142 ANOM 145 See also Analysis of Means for Variances 145, 163 for Variances with Levene (ADM) 145 with Transformed Ranks 145 Area element 266 Area Style option 268 Arrange Plots option 343, 461 Axes option 365 Axis Options window 358 B Background Color option 364 Background Maps 418 Bar Chart option 324 Bar element 266 Bar Style option 268 Bartlett test 156 Beta Binomial fit 83–84 Beta fit 78 Binomial fit 83 Biplot Rays option 361 Bivariate Normal Ellipse menu 115–117 Bivariate platform 91 example 93 launching 93 options 95–97, 115–118 report window 94 Block button 90 Block Means report 143 bootstrapping 247–253 Box option 365 Box Plot element 266 Box plots 136 Box Style option 268 Brown-Forsythe test 156 brush tool 388 Bubble Plot platform 381 animating dynamic 386 brush tool 388 By variable 385 categorical Y variable 400–401 dynamic 381, 383–384, 386 example 383–384, 392–401 launching 384–385 options 388–392 selecting bubbles 388 splitting a bubble 394–396 static 381, 386, 396–400 C Capability Analysis option 54–56, 73–75 Caption Box element 266 Categories variable 469–470 Categories, X, Levels button 315, 318–319 CDF plot 135, 161 Cell Labeling option 190 Cell Plot platform 457
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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Contents Example of Bivariate Analy
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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130 Performing Oneway Analysis Chap
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Contents Example of Contingency Ana
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186 Performing Contingency Analysis
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Contents Overview of Logistic Regre
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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462 Creating Cell Plots Chapter 18
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Basic Analysis and Graphing - SAS

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