Figure 2. Histogram of normalized core temperatures: grouped data Figure 3. Normal probability plot of normalized core temperatures: grouped data ed in the remaining 290 precooks. The histogram and normality plot for an example temperature data set with normal distribution is shown in Fig. 4 and 5 (P value > 0.10). The histogram and normality plot for the data failing the normality plot are shown in Fig. 6 and 7 (P value 0.025). These data sets indicate that precooking temperature data collected real time in a factory appear to be normally distributed in the range of interest. The outliers in the data sets that failed the test 278 Food Protection Trends July/August for normality primarily failed on the high side, with temperatures well over 70°C or 80°C. Modeling the impact of the range of core temperature variation In a hypothetical data set, the minimum recorded core temperatures were held constant at 60°C and the maximum core temperature was varied in value, increasing the range in 5°C increments. It is very evident how much the calculated