Basic Analysis and Graphing - SAS

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146 Performing Oneway Analysis Chapter 5 Compare Means Table 5.11 Descriptions of the Analysis of Means Methods Options Set Alpha Level Show Summary Report Graph in Variance Scale Display Options Select an option from the most common alpha levels or specify any level with the Other selection. Changing the alpha level modifies the upper and lower decision limits. For ANOM, creates a report showing group means and decision limits. • For ANOM with Transformed Ranks, creates a report showing group mean transformed ranks and decision limits. • For ANOM for Variances, creates a report showing group standard deviations (or variances) and decision limits. • For ANOM for Variances with Levene (ADM), creates a report showing group mean ADMs and decision limits. (Only for ANOM for Variances) Changes the scale of the y-axis from standard deviations to variances. Display options include the following: • Show Decision Limits shows or hides decision limit lines. • Show Decision Limit Shading shows or hides decision limit shading. • Show Center Line shows or hides the center line statistic. • Show Needles shows or hides the needles. Compare Means Note: Another method for comparing means is ANOM. See “Analysis of Means Methods” on page 144. Use the Compare Means options to perform multiple comparisons of group means. All of these methods use pooled variance estimates for the means. Each Compare Means option adds comparison circles next to the plot and specific reports to the report window. For details about comparison circles, see “Using Comparison Circles” on page 148.
Chapter 5 Performing Oneway Analysis 147 Compare Means Option Description Reference Nonparametric Menu Option Each Pair, Student’s t Computes individual pairwise comparisons using Student’s t-tests. If you make many pairwise tests, there is no protection across the inferences. Therefore, the alpha-size (Type I error rate) across the hypothesis tests is higher than that for individual tests. See “Each Pair, Student’s t” on page 149. Nonparametric > Nonparametric Multiple Comparisons > Wilcoxon Each Pair All Pairs, Tukey HSD Shows a test that is sized for all differences among the means. This is the Tukey or Tukey-Kramer HSD (honestly significant difference) test. (Tukey 1953, Kramer 1956). This test is an exact alpha-level test if the sample sizes are the same, and conservative if the sample sizes are different (Hayter 1984). See “All Pairs, Tukey HSD” on page 149. Nonparametric > Nonparametric Multiple Comparisons > Steel-Dwass All Pairs With Best, Hsu MCB Tests whether the means are less than the unknown maximum or greater than the unknown minimum. This is the Hsu MCB test (Hsu 1981). See “With Best, Hsu MCB” on page 149. none With Control, Dunnett’s Tests whether the means are different from the mean of a control group. This is Dunnett’s test (Dunnett 1955). See “With Control, Dunnett’s” on page 150. Nonparametric > Nonparametric Multiple Comparisons > Steel With Control Note: If you have specified a Block column, then the multiple comparison methods are performed on data that has been adjusted for the Block means. Related Information • “Example Contrasting All of the Compare Means Tests” on page 169
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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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32 Performing Univariate Analysis C
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90 Introduction to the Fit Y by X P
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218 Performing Simple Logistic Regr
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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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340 Creating Overlay Plots Chapter
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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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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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486 Creating Scatterplot Matrices C
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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