7/17/2019 To Be Honest

http://slidepdf.com/reader/full/to-be-honest-569103c889460 1/1

To begin with, I believe statistics can be misinterpreted in some ways. When people

deal with statistics, there are just a few numbers representing for the fact or the

 posibility of the conducting research. However, people sometimes misunderstand the

meaning of those numbers. Therefore, statistics need to be examined carefully so that

 people can understand what is being said. There are some way to manipulate

statistics. First is leaving some piecies of information out. nd othermisinterpretations can be caused by oversimplification. The portion of the population

is studied, and how many people are studied can also cause errors in statistics.

!esides, some misinterpretations may occur when people try to multiply the two or

more possiblities that might not relate to each other. The "uestion we need to answer

is what matters is how li#ely or unli#ely, relative to each other. In the video, $r

%onelly gives a very nice example of what&s the chance that a man who has a postive

HI' test actually do have that virus( In this case, there are ) posiblitities* the man has

the virus and he does not have it. !ut based on the statistics, the HI' test is ++

giving the accurate result. However, we can-t say that man is ++ having that virus.It is because that number ++ is based on the sample of the research about the

accuracy of the test itself. In this case, we might be wrong if we lin# the accuracy of

the test-s result to the possibility that the man has that virus.