Final answer:
The question assesses the probability of certain events based on bed occupancy percentages and average length of stays in a clinical context. It is likely that the women collectively spent more than a year in the hospital if their average stay was more than five days. Similarly, it is probable that an individual stayed more than five days when the occupancy rate exceeds 100%.
Step-by-step explanation:
The question at hand relates to calculating the inpatient bed occupancy percentage over various periods in December and understanding the implications of length of stay statistics in a clinical setting. When discussing occupancy percentages that exceed 100%, it seems we are dealing with overcapacity or readmission scenarios.
For example, if the average stay of 80 women was more than five days, to check if collectively they spent more than a year in the hospital, we would calculate the total days spent and compare it to the number of days in a year (365). If each woman stayed at least six days (which is 'more' than five), this would amount to 80 women * 6 days = 480 days, clearly surpassing a year's length.
It is likely that an individual stayed more than five days in the hospital if the occupancy rate is given as a percentage that exceeds 100%, such as 165%. This suggests that either patients are staying longer than the period measured, or the same beds are being used more than once within that period due to discharge and admission of new patients. Similarly, given that the average stay of a group is said to be more than five days, it is likely that this statement is true; the keyword 'average' implies that the collective days divided by the number of individuals results in a figure over five.