The probability of a false positive test result is 0.168 (Round to three decimal places as needed.) Who would suffer from a false positive result? Why? O A. The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs. O B. The employer would suffer because the person tested would be suspected of using drugs when in reality he or she does not use drugs. O C. The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs. O D. The employer would suffer because the person tested would not be suspeçted of using drugs when in reality he or she does use drugs.
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
Introduction:
The results of any test can be classified into 4 categories- true positive, true negative, false positive, and false negative.
The term “true” indicates that the result is correct, and the term “false” indicates that the result is incorrect. The term “positive” implies that the test result indicates the presence of the condition of interest, and the term “negative” implies that the test result indicates the absence of the condition of interest.
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