Basic Analysis and Graphing - SAS

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150 Performing Oneway Analysis Chapter 5 Compare Means sample sizes are equal). The comparison circles plot uses the largest quantiles value shown to make the circles. Use the p-values of the tests to obtain precise assessments of significant differences. Note the following: • If a mean has means significantly separated above it, it is not regarded as the maximum. • If a mean has means significantly separated below it, it is not regarded as the minimum. • If a mean is significantly separated above all other means, it is regarded as the maximum. • If a mean is significantly separated below all other means, it is regarded as the minimum. Note: Means that are not regarded as the maximum or the minimum by MCB are also the means that are not contained in the selected subset of Gupta (1965) of potential maximums or minimum means. For the maximum report, a column shows the row mean minus the column mean minus the LSD. If a value is positive, the row mean is significantly higher than the mean for the column, and the mean for the column is not the maximum. For the minimum report, a column shows the row mean minus the column mean plus the LSD. If a value is negative, the row mean is significantly less than the mean for the column, and the mean for the column is not the minimum. Related Information • “Example of the With Best, Hsu MCB Test” on page 167 With Control, Dunnett’s The With Control, Dunnett’s test compares a set of means against the mean of a control group. The LSDs that it produces are between the Student’s t and Tukey-Kramer LSDs, because they are sized to guard against an intermediate number of comparisons. In the Dunnett’s report, the d quantile appears, and can be used in a manner similar to a Student’s t-statistic. The LSD threshold matrix shows the absolute value of the difference minus the LSD. If a value is positive, its mean is more than the LSD apart from the control group mean and is therefore significantly different. Related Information • “Example of the With Control, Dunnett’s Test” on page 168 Compare Means Options The Means Comparisons reports for all four tests contain a red triangle menu with customization options.
Chapter 5 Performing Oneway Analysis 151 Nonparametric Table 5.12 Descriptions of Compare Means Options Difference Matrix Confidence Quantile LSD Threshold Matrix Connecting Letters Report Ordered Differences Report Detailed Comparisons Report Shows a table of all differences of means. Shows the t-value or other corresponding quantiles used for confidence intervals. Shows a matrix showing if a difference exceeds the least significant difference for all comparisons. Note: For Hsu’s MCB and Dunnett’s test, only Difference Matrix, Confidence Quantile, and LSD Threshold Matrix are applicable. Shows the traditional letter-coded report where means that are not sharing a letter are significantly different. Shows all the positive-side differences with their confidence interval in sorted order. For the Student’s t and Tukey-Kramer comparisons, an Ordered Difference report appears below the text reports. This report shows the ranked differences, from highest to lowest, with a confidence interval band overlaid on the plot. Confidence intervals that do not fully contain their corresponding bar are significantly different from each other. Shows a detailed report for each comparison. Each section shows the difference between the levels, standard error and confidence intervals, t-ratios, p-values, and degrees of freedom. A plot illustrating the comparison appears on the right of each report. This option is not available for All Pairs, Tukey’s HSD, and Nonparametric Multiple Comparisons. Nonparametric Nonparametric tests are useful for testing whether group means or medians are located the same across groups. However, the usual analysis of variance assumption of normality is not made. Nonparametric tests use functions of the response ranks, called rank scores (Hajek 1969). Note: If you have specified a Block column, then the nonparametric tests are performed on data that has been adjusted for the Block means.
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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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200 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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Contents Example of a Contour Plot
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374 Creating Contour Plots Chapter
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Contents Example of a Dynamic Bubbl
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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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418 Creating Maps Chapter 16 Backgr
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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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Contents Example of a Cell Plot. .
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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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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474 Creating Tree Maps Chapter 19 A
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Contents Example of a Scatterplot M
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486 Creating Scatterplot Matrices C
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Contents Example of a Ternary Plot
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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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514 References Wadsworth, H. M., St
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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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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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