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statistically significant relationship, and that temperature change between age brackets was not statistically significant.
Figure 6- Shapiro-Wilk test of normality for Patient Age
Figure 7- One-way ANOVA test for Temperature Decreases and Patient Age
4.3
Body temperature decreases and recumbency during the scan The Shapiro-Wilk test of normality revealed that the data collected for sternal( n = 30, mean = 1.1, SD = 0.713) and dorsal( n = 67, mean = 1.45, SD = 0.822) was normally distributed. The SPSS system was unable to provide a result for the normality of the dorsal & lateral group, as there was not enough data to analyse( n = 2, mean = 1.5, SD = 0)( Figure 8). A Kruskal-Wallis test was run to compare the data between recumbency of the dog and decreases in body temperature( Figure 9). The test determined that the results were not statistically significant( p = 0.088) and so the null hypothesis, the distribution of temperature decrease is the same across recumbency groups, must be accepted. This means that the recumbency of the dog in the scanner did not influence the decreases occurring in the patient’ s body temperature.
ANIM32126 – EBVN Project 22