Compare and Contrast Essay on False Positive vs. False Negative and Their Impact on Organizations

Introduction

False positive refers to an outcome which shows a particular condition exists although it does not exist. False positive is thereby regarded as a type of error that is as a result of having a given test only being carried out with the aim of checking single condition and in turn, wrongly provides an affirmative or a favorable decision. What matters typically for an organization is the risk associated with false positive which is contributed by the increased probability of having the positive result becoming false. On the other hand, false negative usually refers to the test outcome which proves that a particular condition does not necessarily hold while it does. The false negative concept is understood in a situation whereby there is erroneously no implication which has become inferred to show that a given condition exists. False negative is experienced when dealing with situations whereby the test carried out in determining the truth have failed to realize the state leading to the impacts achieved. False negative is as a result of having individual or organization concluding falsely that a given condition is negative (French, 2008). When the false negative mistake that occurs in the test has a single condition being evaluated for, then the outcome of the assessment is by mistake that the particular situation of the test is absent.

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The rate of false positive is determined by the positive proportion that all the potential negatives still can produce positive test results with the kind of test that is being carried out. Therefore, the false positive results are usually given in the cases whereby there was no event which was present. To add to this, the rate of false positive is generally considered as the same as the level of significance that a given test has. On the contrary, the rate of false negative includes the proportion of the positives that yield the negative outcome of the test with a given test. The probability of having a negative test outcome being experienced is only when the condition which is being looked for has been identified as being present. False positive is used to describe a problem which does not exist in a given code (Pounds, & Morris, 2003). Therefore, false positive does not require fixing, and whenever it has been fixed, there is no given violation of a regulation that is made, but instead, there is a diagnostic generation. Given that true positive consist of a given issue which requires being fixed, it usually violates a regulation, and it thus becomes a real issue facing individuals or organizations. However, the process of trying to change true positive from the false positive is complex.

On the other hand, false negative entails a problem which exists, but it does not get detected. This often happens whenever there exists a rule violation although there is no given diagnostic that has been created. If it were a condition resulting in true negative, it would mean that an organization or an individual do not have any issue that they are facing hence there would be no regulation that is being violated.

One similarity between false positive and false negative is that they both can be caused by mistakes made by tools. Since tools are not perfect, they make errors hence false negatives, and false positives are inevitable. This is why it is crucial to have people looking over their code as well as any form of violation that is detected by the tools used in the production process of organization (Brookes et al., 2001). The other similarity that exists between false positives and negative positives is that undecidable rules influence them. A company may experience undecidability whenever they lack visibility. If an organization had useful clarity into all things that a given program is running, then it would be easy to decide if regulation was violated. Thus, without an organization having clear visibility, then it cannot tell if there is a problem.

Conclusion

Both false positives and false negatives have significant effects on a given organization. Both false negative and positives cost an organization extra time. This includes the time used by the company to identify the cases of the false positives and false negatives and ways that can be employed by the organization to avoid violation of specific rules that are affected. Whenever an organization is able to reduce the false positives and false negatives adequately; it can attain a secure and safe code. The other impact of having increased rates of false positives and false negatives is that they can result in real problems becoming hastily dismissed. Both false positives and false negatives do not enhance the achievement of the organization mission. False positives and false negatives act as a distraction in the process of the organization attempting to attain its postulated purpose as they cause inconsistent within various systems of the organization as a result of a violation of specific rules.

References

Brookes, S. T., Whitley, E., Peters, T. J., Mulheran, P. A., Egger, M., & Davey Smith, G. (2001). Subgroup analyses in randomized controlled trials: quantifying the risks of false-positives and false-negatives. Health technology assessment, 5(33), 1-56.

French, J. L. (2008). False Positive and False Negative. Encyclopedia of Special Education, 876-877.

Pounds, S., & Morris, S. W. (2003). Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values. Bioinformatics, 19(10), 1236-1242.