A test is designed to detect cancer. If a person has cancer, then the probability that the test will detect it is .95; if the person does not have cancer, the probability that the test will erroneously indicate that he or she does have cancer is 0.1. Assume 15% of the population who take the test have cancer. What is the probability that a person described by the test as not having cancer really does have it?

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.