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Basic Analysis and Graphing - SAS

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

Means/Anova <strong>and</strong> Means/Anova/Pooled t<br />

Table 5.7 Description of the <strong>Analysis</strong> of Variance Report (Continued)<br />

Mean Square<br />

F Ratio<br />

Prob>F<br />

Is a sum of squares divided by its associated degrees of freedom:<br />

• The Model mean square estimates the variance of the error,<br />

but only under the hypothesis that the group means are<br />

equal.<br />

• The Error mean square estimates the variance of the error<br />

term independently of the model mean square <strong>and</strong> is<br />

unconditioned by any model hypothesis.<br />

Model mean square divided by the error mean square. If the<br />

hypothesis that the group means are equal (there is no real<br />

difference between them) is true, then both the mean square for<br />

error <strong>and</strong> the mean square for model estimate the error variance.<br />

Their ratio has an F distribution. If the analysis of variance<br />

model results in a significant reduction of variation from the<br />

total, the F ratio is higher than expected.<br />

Probability of obtaining (by chance alone) an F value greater<br />

than the one calculated if, in reality, there is no difference in the<br />

population group means. Observed significance probabilities of<br />

0.05 or less are often considered evidence that there are<br />

differences in the group means.<br />

The Means for Oneway Anova Report<br />

The Means for Oneway Anova report summarizes response information for each level of the nominal or<br />

ordinal factor.<br />

The Means for Oneway Anova report shows the following information:<br />

Table 5.8 Description of the Means for Oneway Anova Report<br />

Level<br />

Number<br />

Mean<br />

Std Error<br />

Lower 95% <strong>and</strong> Upper 95%<br />

Lists the levels of the X variable.<br />

Lists the number of observations in each group.<br />

Lists the mean of each group.<br />

Lists the estimates of the st<strong>and</strong>ard deviations for the group<br />

means. This st<strong>and</strong>ard error is estimated assuming that the<br />

variance of the response is the same in each level. It is the root<br />

mean square error found in the Summary of Fit report divided<br />

by the square root of the number of values used to compute the<br />

group mean.<br />

Lists the lower <strong>and</strong> upper 95% confidence interval for the group<br />

means.

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