From the Bayesian analysis, if the probability of being infected after a test result is 0.05 or less, then the person is considered to not be infected.The probabilities of being infected depend on the sensitivity and specificity of the test being administered.Consider the two tests selected.Cellex Inc. with a reported sensitivity of 93.8% and a reported specificity of 95.6%.Roche Diagnostics with a reported sensitivity of 84% and a reported specificity of 63%.A pretest probability is sought that results in a probability of 0.05 or less of being infected after testing of the tests from the two sources.

How many statements are correct?01234

Statement A. A pretest probability of approximately 0.45 is required for Cellex Inc. after one negative test result.

Statement B. A pretest probability of approximately 0.93 is required for Roche Diagnostics after one negative test result.

Statement C. A pretest probability of approximately 0.17 is required for Cellex Inc. after two consecutive negative test results.

Statement D. A pretest probability of approximately 0.45 is required for Roche Diagnostics after two consecutive negative test results.