Repeated-measures analysis of variance tested for biases of oral or temporal temperatures versus core temperatures.
If data met assumptions for normality, tested with the Shapiro Wilk test, t-tests were run with or without Welch's correction depending on the homogeneity of variance (tested with Levene's test).
Those assumptions include: (a) the independence, (b) normality tested using the Shapiro Wilk test, and (c) homogeneity of variance tested using the Levene Statistic.
Assumptions of normality and equality of variance were met after log transforming OD450 values (normality tested with Kolmogorov and Smirnov method, p>0.05 for each group; equality of variance tested with Bartlett's test, p = 0.4198).
If assumptions of normality and equality of variance, tested using the Kolmogorov and Smirnov method and Bartlett's test respectively, were met by log transforming data, parametric ANOVA was used and treatments groups were compared to the control group using a Dunnet's method post-hoc test.
For continuous variables, post-hoc pairwise comparisons among groups were performed with the Games-Howell or Bonferroni tests, depending on the homogeneity of variance tested with Levene's test.
