Data Assessment and Analysis EpiInfo

EPIINFO

EpiInfo

From the data included in the analysis garget of the canvas, the racial category that had the highest frequency in the dataset happens to be White. Essentially, out of the five racial categories which included White, Black, Asian/Pacific Islander, American Indian/Alaska Native, and others that were included in the dataset, the White race had a frequency of 152 and a percentage of 49.19% which was higher than the other races. When the groups were stratified to separate them from males and females, White still had the highest frequency compared to the races included. Despite the fact that their frequency was not as high as it was when males and females were combined, their frequency was higher than that of others. In essence, the dataset that included males showed that the frequency of White was 90 with a percentage of 52.02%. On the other hand, the frequency of White females was also high, with a frequency of 62 and a percentage of 45.59%.

From the frequency garget, the number of people that ate their meal and drank water at 2:00 pm were 88. In the means dataset garget, the average age on the basis of case outcome of those who were ill at the time of reporting was 34.09, the mean of those who recovered was 31.23, and the average number of unknown outcomes was 34.14. With regard to average age of people on the basis of gender, the average of females was 34.04 while that of males was 33.90.