Why is it better to compare the per capita sick day rate among the low, medium and high populations than the total number of sick days? (0.5 points)
Comparing the per capita sick day rate among different population sizes is better because it allows for a fair and accurate comparison. The total number of sick days may vary greatly between populations of different sizes, which could be misleading when comparing their sickness rates. By calculating the per capita sick day rate, we normalize the data and account for the differences in population sizes. This enables us to compare the illness rates more accurately, as it provides a standardized measure of sickness within each population.
Comparing the per capita sick day rate among low, medium, and high populations is better than comparing the total number of sick days because it takes into account the size of the population. By calculating the per capita rate, we can standardize the data and make meaningful comparisons between populations of different sizes.
For example, let's say the low population has a total of 100 sick days, the medium population has 200 sick days, and the high population has 300 sick days. Without considering the population size, we might conclude that the high population has the highest rate of sick days. However, if we consider the population size, we might find that the high population actually has a lower per capita sick day rate compared to the low or medium population.
By comparing the per capita sick day rate, we can identify whether a population has a higher or lower rate of sick days relative to its population size. This enables a fair and accurate comparison between populations of different sizes and allows us to draw meaningful conclusions about the prevalence of sick days within each population.
Comparing the per capita sick day rate among different population groups is better than comparing the total number of sick days because it takes into account the population size and provides a fair comparison.
To calculate the per capita sick day rate, you need to divide the total number of sick days by the population size. The result will give you the average number of sick days per person in each population group.
Comparing the per capita sick day rate allows for a more accurate understanding of the impact of sick days on different population groups. For example, if you compare the total number of sick days between a low population group and a high population group, the high population group may naturally have a higher number of sick days simply because they have more people who could potentially get sick. This doesn't necessarily mean that the actual rate of sickness is higher in the high population group.
By considering the per capita sick day rate, you account for the population size and can compare the actual impact of sickness on a per person basis. This provides a more meaningful comparison between different population groups, allowing for a better understanding of the relative health situations.
In summary, comparing per capita sick day rates among low, medium, and high population groups is better than comparing the total number of sick days because it takes into account the population size and provides a fair comparison of the actual impact of sickness on a per person basis.