The answer will depend on what the disease is.
0, since letters of the alphabet do not have diseases.
FTD = Florists' Transworld Delivery. STD = Sexually Transmitted Disease.
Epidemiological Study.
prognosis
Incidence rate and relative risk are two different measurements used in epidemiology to study illness/disease in specified populations.Incidence rate refers to the number of new cases of a condition in a defined (specified) group or population. It is often expressed as a ratio. For example, if there are 1000 people and 14 of them develop a condition, the incidence rate is 14 per 1000 or 1.4%Relative risk is a measurement that indicates probability of cause. In other words, how likely is it that a place, person or agent is responsible for causing disease/illness.Before you can calculate relative risk, you must first calculate an attack rate on different groups. An attack rate refers to the number of people exposed to an illness compaired to those who actually became sick. To calculate the attack rate, you divide the number of people ill by those who were exposed, and then multiply by 100.To then calculate the relative risk, you divide the attack rate of those sick by the attack rate of those who are not sick.The closer the relative risk is to 1.0, the less likely it is the cause of disease.The higher the relative risk, the more likely it is that it is the cause of disease.
If I understand your question, yes, the proportion of people in a population ill with a certain disease at a given time is the same as the probablility that a randomly selected person in that population will have the disease at that time.
Morbidity is an incidence of ill health. It is measured in various ways, often by the probability that a randomly selected individual in a population at some date and location would become seriously ill in some period of time. In short, morbidity refers to the state of being diseased or unhealthful. It may be brought on buy things such as injury, disease or old age.
The probability isP(you have the disease)*P(the test shows positive when testing someone with the disease) +P(you don't have the disease)*P(the test shows positive when testing someone without the disease).The second category is particularly important if the disease is rare but the probability of a type II error is large.
50%
around 20-30%
For the case where the disease is a recessive trait (more likely), the probability is 1/2 that they will carry the diseased gene but not show it. If the disease is a dominant trait, the probability is 1/2 that they will get it and show it. Having said that, in the recessive case, if both parents are carriers, then there is a 1/4 case the child will get it from both and then show the disease. I have answered regarding genetically-transmitted diseases. Mental illness and other forms of "disease" will be different.
0, since letters of the alphabet do not have diseases.
0% probability that their daughter will have it because it is a X-linked disease meaning only males can get it.
To be able to understand the probability of chance for an occurrence and to further understand probability
The knowledge of probability impacts one's understanding of drug testing or tests for a particular disease because the test parameter could come out either as true or false, making the probability to be 1/2 for either scenario or status.
the punnett square
Sims can only catch the flu, which happens randomly or sometimes never.