Please help me! I don't know the answer to that question.
What is an advantage of considering the outlier as a separate piece of data when analyzing and graphing data?What is an advantage of considering the outlier as a separate piece of data when analyzing and graphing data?
I'd have to say because the outlier will offset the averages, and gives emphasis on a possibly less important piece of information.
And also, if your outlier is a much higher or lower factor, it will make your graph larger. That can be an issue because your graph won't be as specific when it comes to labeling intervals...What is an advantage of considering the outlier as a separate piece of data when analyzing and graphing data?
Every good statistician needs to know how to manipulate the truth. Every good scientist needs to fool those who fund him into giving for more research. Why give people reasons to doubt your hypothesis when you can convince them its valid? That is modern capitalist empiricism, interests vested in money, prestige and fame. This is the nature of competitive science, they are biased to favor whatever conclusion they wish... a highly empirical practice. And to save their image when their theory is disproved later, they document their experiment, how it was done, and justify removal of oulier data as a statistical practice, and tell people "you didnt do it like we did it, no wonder you got different results." Poor ethics backed by numbers is the advantage. Rhetoricians call it an "Accident Fallacy", but its a common practice in statistics. Ignore that which debunks your conclusion.What is an advantage of considering the outlier as a separate piece of data when analyzing and graphing data?
You eliminate measuring-problems
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