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Basic Analysis and Graphing - SAS

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Chapter 5 Performing Oneway <strong>Analysis</strong> 163<br />

Additional Examples of the Oneway Platform<br />

Example of an <strong>Analysis</strong> of Means for Variances Chart<br />

This example uses the Spring Data.jmp sample data table. Four different br<strong>and</strong>s of springs were tested to see<br />

what weight is required to extend a spring 0.10 inches. Six springs of each br<strong>and</strong> were tested. The data was<br />

checked for normality, since the ANOMV test is not robust to non-normality. Examine the br<strong>and</strong>s to<br />

determine whether the variability is significantly different between br<strong>and</strong>s.<br />

1. Open the Spring Data.jmp sample data table.<br />

2. Select Analyze > Fit Y by X.<br />

3. Select Weight <strong>and</strong> click Y, Response.<br />

4. Select Br<strong>and</strong> <strong>and</strong> click X, Factor.<br />

5. Click OK.<br />

6. From the red triangle menu, select <strong>Analysis</strong> of Means Methods > ANOM for Variances.<br />

7. From the red triangle menu next to <strong>Analysis</strong> of Means for Variances, select Show Summary Report.<br />

Figure 5.15 Example of <strong>Analysis</strong> of Means for Variances Chart<br />

From Figure 5.15, notice that the st<strong>and</strong>ard deviation for Br<strong>and</strong> 2 exceeds the lower decision limit.<br />

Therefore, Br<strong>and</strong> 2 has significantly lower variance than the other br<strong>and</strong>s.<br />

Example of the Each Pair, Student’s t Test<br />

This example uses the Big Class.jmp sample data table. It shows a one-way layout of weight by age, <strong>and</strong><br />

shows the group comparison using comparison circles that illustrate all possible t-tests.<br />

1. Open the Big Class.jmp sample data table.

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