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Basic Analysis and Graphing - SAS

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144 Performing Oneway <strong>Analysis</strong> Chapter 5<br />

<strong>Analysis</strong> of Means Methods<br />

Mean Lines, Error Bars, <strong>and</strong> St<strong>and</strong>ard Deviation Lines<br />

Show mean lines by selecting Display Options > Mean Lines. Mean lines indicate the mean of the response<br />

for each level of the X variable.<br />

Mean error bars <strong>and</strong> st<strong>and</strong>ard deviation lines appear when you select the Means <strong>and</strong> Std Dev option from<br />

the red triangle menu. See Figure 5.10. To turn each option on or off singly, select Display Options > Mean<br />

Error Bars or Std Dev Lines.<br />

Figure 5.10 Mean Lines, Mean Error Bars, <strong>and</strong> Std Dev Lines<br />

std dev lines<br />

mean error bar<br />

mean line<br />

<strong>Analysis</strong> of Means Methods<br />

Note: For a description of ANOM methods, see the document by Nelson, Wludyka, <strong>and</strong> Copel<strong>and</strong><br />

(2005). For a description of the specific ANOM for Variances method, see the paper by Wludyka <strong>and</strong><br />

Nelson (1997).<br />

<strong>Analysis</strong> of means (ANOM) methods compare means <strong>and</strong> variances across several groups. You might want<br />

to use these methods under these circumstances:<br />

• if you want to test whether any of the group means are statistically different from the overall mean<br />

• if you want to test whether any of the group st<strong>and</strong>ard deviations are statistically different from the root<br />

mean square error (RMSE)<br />

Note: Within the Contingency platform, you can use the <strong>Analysis</strong> of Means for Proportions when the<br />

response has two categories. For details, see the “Performing Contingency <strong>Analysis</strong>” chapter on page 183.<br />

Compare Means<br />

Use the ANOM <strong>and</strong> ANOM with Transformed Ranks options to compare group means to the overall mean.

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