In this short story this man describes his bumpy road of “incurable cancer” news that he received from his doctor. Steven Jay Gould received this horrible news in 1982 that he had a type of cancer that was rare and there was nothing the doctors could do to cure it. Gould thought there was information that he could search that would help him figure out what was going on, but numerous times he began to find nothing about this rare disease. He kept mentioning that it had to do something with the median that would help cure him, but he soon realized it was more than just that it was something else that may have an impact. Furthermore, this brings us to the question: if the median isn’t the message, then what is? Steven Gould was still researching trying to figure out some information when he …show more content…
The definition of skewness in statistics form is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean, and the value can be either positive or negative. When the data is skewed to the right it means that the mean is greater than the median, which applies to Steven Gould’s situation in the fact he had an eight-month median. I think Gould’s personal feelings about the statistics involved in the article could be defined as an emotional relief. I say that because he was always told he only has eight more months to live because of this rare incurable disease that he had, but when he is finally told that his input of the data is “right skewed” he lets out a long sigh of relief. It goes on to say in the article that he lives longer than the expected amount of time that he was given so I would say he was pretty ecstatic knowing that the first statistical information he received was