Give a positive response to this person\'s response to the question. Can you thi
ID: 3177549 • Letter: G
Question
Give a positive response to this person's response to the question.
Can you think of a policy; political, economic, social, or otherwise, that pushes people toward avoiding one type or another? What are the repercussions of such policies?
Type 1: Reject Null when it is True Type 2: Retain Null when it is False Examples of Type 1 the first one that comes to mind is something like the water testing situation in Flint. Tested, hypothesis that water was unsafe to drink rejected concluding that it was when in fact it was at levels potentially hazardous to humans. Safety is over-often harped on to excess but given a risk to health and a confidence in the municipal water system that hundreds of millions of Americans depend on getting the quality reports correct and making the right conclusion is imperative. Type 2: Often times, political parties have an agenda they wish to reach, indeed humans in general but policy makers have the most impact given their position of authority. When that end result becomes more important than the under-girding truth of the matter serious problems emerge. Confirmation bias is extremely strong and present in both major political groupings in the united states, bias on its own isn't a problem so long as it still arrives at truth, however when it arrives at a type 2 error... retaining an idea that is false there can be very drastic negative implications to follow particularly where government policy is concerned.
Explanation / Answer
The answer shown here kind of discusses about the two types of errors while testing statistical hypotheses.
The type I error is the eoor which occurs when we reject the null hypothesis even though it is correct.
The type II error occurs when we accept the null hypothesis even though it is false.
The type II error is more dangerous as compared to type I as the future implications of it are more serious when something false is accepted as compared to the situation when something true is discarded ( or rejected ).
Other than that, the question being mentioned above has asked a general point of view as to why certain factors affect people's decision. If we consider this point, the answer is not truly justified.
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