A doctor is concerned about the life expectancy rates of cancer patients in his clinic. There were forty patients in the clinic all of whom were in remission from cancer. Theoretically, all the patients had an equal probability of living for at least ten years post-treatment. However, the doctor had data that suggested that younger patients were more likely to live longer than older patients. This data was from national cancer data. However, the doctor had used the same and newly developed approach to treatment for all his patients and therefore wanted to determine the probability that all patients would live for at least ten years post-treatment, irrespective of their age. What formula could he use to determine this probability?
A) NHST
B) Pearson's r
C) Cronbach's Alpha
D) Bayes' theorem.

Question

Quizplus · Accepted Answer

Bayes' theorem can be used to compute the probability of an event (in this case, living for at least ten years post-treatment) given prior knowledge of conditions related to the event (in this case, age). By using Bayes' theorem, the doctor can incorporate the national cancer data on age and life expectancy to determine the probability of all patients living for at least ten years post-treatment, while also considering the individual characteristics of each patient in the clinic.

A Doctor Is Concerned About the Life Expectancy Rates of Cancer