N1033787
correlation coefficient can be rounded to-0.3, which indicated a low, almost negligible correlation between the two variables.
Figure 4- Shapiro-Wilk test of normality for BCS data
Figure 5- Spearman’ s rank correlation coefficient test for Temperature Decreases and BCS
4.2
Body temperature decreases and patient age When analysing the distribution of the data collected for patients age, the Shapiro-Wilk test of normality revealed that the data was considered normally distributed for all age brackets( Figure 6). The following descriptive data was revealed:
• 0 – 1yr( n = 8, mean = 1.44, SD = 0.85)
• 1yr1m – 3yr( n = 13, mean = 1.44, SD = 0.737)
• 3yr1m- 7yr( n = 39, mean = 1.23, SD = 0.837)
• 7yr1m – 10yr( n = 23, mean = 1.64, SD = 0.754)
• 10yr1m +( n = 16, mean = 1.11, SD = 0.7). A one-way ANOVA test was run to compare the two variables and determine whether there was a relationship between the two( Figure 7). The result showed that there was not a
ANIM32126 – EBVN Project 21