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A psychologist developed a test designed to help predict whether production-line workers in a large industry will perform satisfactorily. A test was administered to all new employees in a corporation. At the end of the first year of work, these employees were rated by their supervisors: 18% were rated excellent, 53% were rated satisfactory and 29% were rated poor. 48% percent of those rated excellent passed the psychologist's test, as did 22% of those rated satisfactory and 12% of those rated poor.
a) What is the probability that a randomly selected employee will pass the psychologist's test?
b) What is the probability that an employee who doesn't pass the test will be rated excellent or satisfactory?
What is a hypothesis test? Why do we need to use them to make decisions about relating sample results to the population; why can’t we just make our decisions by the sample value?
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