) Refer to the table which summarizes the results of testing for a certain disease. 3) Positive Test Result Test Result Negative Subject has the disease Subject does not have the disease 111 172 If one of the results is randomly selected, what is the probability that it is a false negative (test indicates the person does not have the disease when in fact they do)? What does this probability suggest about the accuracy of the test? A) 0.0369; The probability of this error is low so the test is fairly accurate. C) 0.591; The probability of this error is high so the test is not very accurate. D) 0.0134; The probability of this error is low so the test is fairly accurate.

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.