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15Mar/103

What is the relationship between Affirmative Action and descriptive statistics?

Reader question: Please please help me in answering this question as it has become very difficult for me. The problem is that I know what is Affirmative Action and what is descriptive statistics but I am unable to find the relationship between the two. Thanks a lot in advance for your cooperation.

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  1. Affirmative Action is a policy intended to admit minority students and students from disadvantaged backgrounds (potentially) over more qualified students who are not of color or who are economically privileged.

    Desriptive statistics are quantities like mean, standard deviation, and other numbers that describe or characterize a distribution of scores, values, measurements, whatever.

    The first is a policy used in social engineering. The second is a class of metrics obtained from numerical computations. Results from the second can ‘feed into’ the first in helping to guide affirmative action policies.

  2. Statistics is like saying 90% of black men are bums, losers, and leaches on financial aid, apathetic, etc.

    Affirmative actions is like saying “Your not allowed to hire qualified white men so that the ratios of employees is more equal”

  3. One of the ideas behind Affirmative Action is to limit the disparity between the racial or ethnic makeup within an organization and that of the potential membership. Measuring and describing and the racial makeups of the two populations and the difference between them is done with descriptive statistics.


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Completed unsolicited and worthless random fact:
The term “devil’s advocate” comes from the Roman Catholic church. When deciding if someone should be sainted, a devil’s advocate is always appointed to give an alternative view.

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