Skewed Frequency Curve Analysis

608 Words2 Pages

Stephen J. Gould, a stubborn and reluctant statistician, was diagnosed with mesothelioma (a particularly serious kind of cancer). Despite the median mortality of eight months, he survived for the next 20 years and died of an unrelated illness. This resolution inspires many points of interest on the insufficient median and its fulfillment in frequency curves, the importance of graphs, and Stephen Gould’s remission. In Stephen Gould’s story the median is not the message. Instead, it should have been the shape of the frequency curve. Due to the asymmetrical nature of the frequency curve for mesothelioma, the median is not particularly helpful because it is biased and is inadequate at expressing the rest of the graph. The median is biased by a number of factors (such as age of the patient, time of diagnosis, etc.) that are not held consistent when collecting data on the mortality rates of patients with mesothelioma. These inconsistencies create a skewed frequency curve. Saying that the median mortality is eight months, would be more helpful if the frequency curve was bell-shaped. In that …show more content…

Graphically, would be a superior method since it would give patients a more comprehensive overview of their potentially imminent death. Allowing them to see that the right-hand whisker of a box-plot or the skewness of a frequency curve could potentially instill hope with a rather dismal diagnosis. Gould discusses the practicality of hope in medical diagnoses saying, “in general, those with positive attitudes, with a strong will and purpose for living...doctors say, tend to live longer.” By giving a patient this overview it would be easy to understand the gravity of their situation while still allowing for the practicality of hope. Therefore, more comprehensive statistics will give patients a better view on their potential life

More about Skewed Frequency Curve Analysis

Open Document