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Tables of Contents for Sas System for Statistical Graphics
Chapter/Section Title
Page #
Page Count
Reference Aids
vii
 
Acknowledgments
ix
 
About the Author
xi
 
Using This Book
xiii
 
Part 1 Introduction
1
44
Introduction to Statistical Graphics
3
42
Introduction
3
1
Advantages of Plotting Data
4
8
The Roles of Graphics in Data Analysis
12
10
Psychological Principles of Data Display
22
5
Graphical Standards for Data Display
27
1
Strategies for Graphical Data Analysis
28
15
Data Sets
43
2
Part 2 Univariate Displays
45
98
Graphical Methods for Univariate Data
47
38
Introduction
47
1
Histograms and Bar Charts
48
11
Stem and Leaf Displays
59
2
Boxplots
61
5
Dot Charts
66
19
Plotting Theoretical and Empirical Distributions
85
58
Introduction
85
1
Plotting Theoretical Statistical Distributions
86
17
Bivariate Normal Distribution
103
4
Histogram Smoothing and Density Estimation
107
10
Quantile Plots
117
14
Plots for Assessing Symmetry
131
12
Part 3 Bivariate Displays
143
140
Scatterplots
145
66
Introduction
146
1
Simple Scatterplots
146
10
Labeling Observations
156
9
Interpolated Curves and Smoothings
165
9
Enhanced Scatterplots
174
15
Plotting Discrete Data
189
11
Displaying a Third Variable on a Scatterplot
200
5
Three-Dimensional Plots
205
6
Plotting Regression Data
211
72
Introduction
211
2
Plotting Data, Regression Curves, and Confidence Limits
213
7
Regression with Several Groups
220
12
Validity of Assumptions: Plotting Residuals
232
22
Partial Regression Plots
254
5
Multiple Regression Response Surface
259
7
Plots of Cp against P for Variable Selection
266
7
Regression with Geographic Data
273
10
Part 4 Graphical Comparisons and Experimental Design Data
283
110
Comparing Groups
285
34
Introduction
285
1
Quantile Comparison Plots for Pairs of Distributions
285
8
Comparative Boxplots
293
12
Diagnostic Plot for Equalizing Variability
305
14
Plotting ANOVA Data
319
74
Introduction
319
1
Plotting Means in a One-Way Design
320
17
Plotting Means for Two-Factor Designs
337
6
Plotting Interactions
343
17
Repeated Measure Designs
360
6
Displaying Two-Way Tables for n = 1 Designs
366
20
Plotting Power Curves for ANOVA Designs
386
7
Part 5 Multivariate Data
393
134
Displaying Multivariate Data
395
52
Introduction
395
1
Glyph Plots
396
7
Draftsman's Display and Scatterplot Matrix
403
11
Star Plots
414
6
Profile Plots
420
11
Andrews Function Plots
431
6
Biplot: Plotting Variables and Observations Together
437
10
Multivariate Statistical Methods
447
52
Introduction
447
1
Assessing Multivariate Normality
447
3
Detecting Multivariate Outliers
450
7
Plotting Principal Components and Component Scores
457
21
Discriminating among Groups
478
21
Displaying Categorical Data
499
28
Introduction
499
1
Rectangular Displays
500
14
Correspondence Analysis
514
13
Part 6 Appendices
527
156
Appendix 1 . Macro Programs
529
66
A1.1 Introduction
530
2
A1.2 The BIPLOT Macro
532
4
A1.3 The BOXANNO Macro
536
4
A1.4 The BOXPLOT Macro
540
8
A1.5 The CONTOUR Macro
548
5
A1.6 The CORRESP Macro
553
3
A1.7 The DENSITY Macro
556
2
A1.8 The DOTPLOT Macro
558
5
A1.9 The LOWESS Macro
563
4
A1.10 The NQPLOT Macro
567
3
A1.11 The OUTLIER Macro
570
2
A1.12 The PARTIAL Macro
572
4
A1.13 The SCATMAT Macro
576
5
A1.14 The STARS Macro
581
5
A1.15 The SYMPLOT Macro
586
3
A1.16 The TWOWAY Macro
589
6
Appendix 2 . Data Sets
595
36
A2.1 Introduction
595
1
A2.2 The AUTO Data Set: Automobiles Data
595
3
A2.3 The BASEBALL Data Set: Baseball Data
598
9
A2.4 The CITYTEMP Data Set: City Temperatures Data
607
2
A2.5 The CRIME Data Set: State Crime Data
609
1
A2.6 The DIABETES Data Set: Diabetes Data
610
4
A2.7 The DIABETES Data Set: Draft Lottery Data
614
1
A2.8 The DUNCAN Data Set: Duncan Occupational Prestige Data
615
2
A2.9 The FUEL Data Set: Fuel Consumption Data
617
2
A2.10 The IRIS Data Set: Iris Data
619
1
A2.11 The NATIONS Data Set: Infant Mortality Data
620
3
A2.12 The SALARY Data Set: Salary Survey Data
623
2
A2.13 The SPENDING Data Set: School Spending Data
625
2
A2.14 The TEETH Data Set: Mammals' Teeth Data
627
1
A2.15 The WHEAT Data Set: Broadbalk Wheat Data
628
3
Appendix 3 . Color Output
631
52
References
683
8
Index
691