Clinical Biochemistry of Domestic Animals (Sixth Edition) - UMK ...

16
Chapter | 1 Concepts of Normality in Clinical Biochemistry
Univariate Analysis of Variance
Descriptive Statistics
Dependent Variable: COUNT
COCKTAIL Mean Std. Deviation N
control 42.3000 5.01221 10
tcc 51.1000 1.91195 10
acd3s 60.2000 3.11983 10
Total 51.2000 8.19756 30
Dependent Variable: COUNT
Tests of Between-Subjects Effects
Source
Type III Sum
of squares
df Mean Square F Sig.
Corrected Model 1602.200 a 2 801.100 62.405 .000
Intercept 78643.200 1 78643.200 6126.274 .000
COCKTAIL 1602.200 2 801.100 62.405 .000
Error 346.600 27 12.837
Total 80592.000 30
Corrected Total 1948.800 29
a R Squared .822 (Adjusted R Squared .809)
Dependent Variable: COUNT
Bonferroni
Multiple Comparisons
(I) COCKTAIL (J) COCKTAIL Mean
Difference
(IJ)
Std. Error
Sig.
95% Confidence Interval
Lower Bound Upper Bound
control tcc 8.8000* 1.60231 .000 12.8898 4.7102
acd3s 17.9000* 1.60231 .000 21.9898 13.8102
tcc control 8.8000* 1.60231 .000 4.7102 12.8898
acd3s 9.1000* 1.60231 .000 13.1898 5.0102
acd3s control 17.9000* 1.60231 .000 13.8102 21.9898
tcc 9.1000* 1.60231 .000 5.0102 13.1898
Based on observed means.
* The mean difference is significant at the .05 level.
FIGURE 1-10 Partial SPSS printout of the analysis of variance for comparing the three groups of Example 5
assuming a completely randomized design.
[Instructions for the SPSS data processing: The counts
are placed in one column of an SPSS worksheet (labeled
here as count ) with the corresponding cocktail administered
indicated in a second column (labeled here as cocktail
). Figure 1-9 is the SPSS worksheet that was used for
this example. The SPSS commands to obtain the ANOVA
are: Analyze (from the main menu) ⇒ General Linear
Model ⇒ Univariate . This opens the Univariate dialog
box. The column containing the counts is placed in the
Dependent Variable: box and the column containing the
cocktail administered is placed in the Fixed Factor(s): box
within the Univariate dialog box. Then the Post Hoc … tab
is pressed, which opens the Univariate Post Hoc Multiple
Comparisons for Observed Means dialog box. In this
box the desired factor (here exposure ) is moved from
the Factor(s): box to the Post Hoc Tests for: box and the
desired post hoc test(s) (here Bonferroni ) selected. The
Continue tab is hit to return to the Univariate dialog box.
Finally, the Options tab is pressed to open the Univariate:
Options box where the column containing the exposure is
placed in the Display Means for: box and the Display of
Descriptive statistics is selected. The Continue tab is hit
to return to the Univariate dialog box and the OK tab is
hit to get the output.]
Figure 1-10 gives a partial printout of the output. The
ANOVA table shows that the total ( Corrected Total ) sum