Final answer:
The question involves using a Poisson distribution to analyze the frequency of coronavirus cases at the University Hospital of the West Indies, which is a mathematical concept applicable in epidemiological studies.
Step-by-step explanation:
The student's question implies analyzing the frequency distribution of patients testing positive for the coronavirus at the University Hospital of the West Indies. The frequency distribution in question is following a Poisson distribution. The occurrence of an event (in this instance, patients being tested positive) in a fixed interval of time or space can be described using a Poisson distribution if the events occur with a known constant mean rate and independently of the time since the last event.
For example, Try It Σ 4.27 deals with an emergency room that gets an average of five patients per hour. A doctor seeks to determine the probability of getting more than five patients in any given hour, which is a problem well-suited for a Poisson distribution since it involves the frequency of independent events occurring within a fixed period.
Similarly, an epidemiological study might use a Poisson distribution to analyze the frequency of reported cases of a disease over time, such as the number of coronavirus cases seen at the hospital each week.