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In: Statistics and Probability

Why is Ethics in statistics important? What are the implications, impact or consequences of unethical research?...

Why is Ethics in statistics important? What are the implications, impact or consequences of unethical research? How are ethical practices in research monitored/prevented/detected?

Solutions

Expert Solution

The ethics in statistic research is the main advantage of monitoring the major issues, which will help the management to rectify the problems in future.

Ethical research of monitoring is one of the most effective ways to ensure compliance during research conduct.

Ethics in statistical analysis has lot advantages, forecasting the business in the right way and prevent the business from major issues and identify the risk of operations.

Ethics in statistics are really very important during data representation as well. Numbers would not lie but their interpretation and representation can be misleading. For example, after a broad survey of many customers, a company might decide to publish and make available only the numbers and figures that reflect well on the company and either totally neglect or not give due importance to other figures.

For example, a bike might be ranked high on comfort but low on safety. By showing only the comfort figures for the bike, the company is, in a way, misleading customers and shareholders about the real picture.

Surveys and polls often indulge in unethical behavior to reinforce a viewpoint. For example, a survey might not reflect true public opinion because it is not statistically significant. However, many surveys do not publish this along with their poll and this can be misleading.

As a researcher it is important to be objective and provide the complete picture that has been obtained from the experiment without hiding any details or overemphasizing something for personal gain. Ethics in statistics are important to give the right direction to research so that it is objective and reflects the truth.

There are several possible ways in which unethical behavior can arise in statistics and researchers should steer clear of these. It is relatively simple to manipulate and hide data, projecting only what one desires and not what the numbers speak.


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