MATH 102 National Louis University Ethical Dimensions of Statistics Discussion

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MATH 102

National Louis University


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I’m working on a Statistics question and need guidance to help me study.

Andew Gelman and David Madigan touch on the n How is Ethics like Logistic Regression. Logistic regression is verethical dimensions of Statistics iy similar to linear regression, except the response variable is categorical (yes/no), and not numerical. So, for example, a logistic regression model could take into account a variety of factors to determine whether we should implement a new medication, given the possible risks. In addition, a logistic regression could determine whether a homeowner is likely to default on a mortgage. This technique can be used to answer sensitive questions.

Often we need to make decisions in Statistics that might be considered unethical. Gelman and Madigan (2015) vividly claim "In general, though, the most informative ethics vignettes are those in which the call is not so close as to seem arbitrary, but not so obvious that the decision can be made without thought". The best Statistical problems are those where the decision is not easy to make and a wrong decision carries a hefty cost.

Do you think regression should be used to answer sensitive problems, where a wrong decision incurs great risk? How strong of a correlation do you think is enough for us to feel a certain decision is viable? Can Statistics ever provide certainty for us in decision making?

Reference: Gelman, A., & Madigan, D. (2015). How is Ethics Like Logistic Regression. Chance, 28(2), 31-33. Retrieved May 8, 2019, from

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Ethics and Statistics
Student’s Name


Ethics and Statistics
The problem of decision-making is one of the significant problems in today’s world
because of its impact on persons, societies and nations, as most of the issues faced by them result
from making incorrect decisions (Al Zawbaee, O & Tabra, 2020). Yes, I think regression should
be used to answer sensitive problems, especially where a wro...

ynathntrjvguynhe (3166)
Rice University

Really useful study material!


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