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Give an example of unethical statistical practice.

Short Answer

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A company intentionally discarding certain information from its sales data in a specific year can be regarded as an unethical statistical practice.

Step by step solution

01

Defining the unethical statistical practice with example

Unethical statistical practice is a wicked act performed by a researcher where he/she eliminates a few information not attaining requirements. Due to this, the conclusions drawn about the population will remain incorrect, affecting the policies framed by the policymakers based on the conclusions.

02

Explaining the act of discarding information

By referring to the example, it can be expounded that a researcher can manipulate a particular year鈥檚 sales figure in order to conduct the research in his/her desired way.For example, if the researcher finds out that a particular year鈥檚 sales have drastically dropped due to any reason, thus for the sake of attaining research objectives, the researcher here can increase the figure just to draw proper conclusions. As a result, the researcher might attain the objectives, but the analysis drawn about the data is wrong and so it is regarded as unethical statistical practice.

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Most popular questions from this chapter

Drafting NFL quarterbacks. The National Football League (NFL) is a lucrative business, generating an annual revenue of about $8 million. One key to becoming a financially successful NFL team is drafting a good quarterback (QB) out of college. The NFL draft allows the worst-performing teams in the previous year the opportunity of selecting the best quarterbacks coming out of college. The Journal of Productivity Analysis (Vol. 35, 2011) published a study of how successful NFL teams are in drafting productive quarterbacks. Data were collected for all 331 quarterbacks drafted between 1970 and 2007. Several variables were measured for each QB, including draft position (one of the top 10 players picked, selection between picks 11 and 50, or selected after pick 50), NFL winning ratio (percentage of games won), and QB production score (higher scores indicate more productive QBs). The researchers discovered that draft position is only weakly related to a quarterback鈥檚 performance in the NFL. They concluded that 鈥渜uarterbacks taken higher [in the draft] do not appear to perform any better.鈥

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