10 Biggest Myths About Retail Workers

[Johonny]

14. They are saying the statistics don't refect all the information provided

For instance by using an average age they are creating a misleading vision of the typical worker. This is because most people assume a normal distribution around the average. However when the statistics don't have a normal distribution then using the average can be misleading. Take a case in point. Bill Gates walks into a soup kitchen with 10 homeless people inside. The average net worth in the room is over a billion dollars. But the average is meaning less to tell you anything about the typical person in the room. The vast majority of people in the room are broke. The writer is claiming the distribution of ages is skewed to the young and the old. Thus the typical worker is not 37 years old even if the average is. In this case the average is not a good representation of the age distribution and can lead a reader to a misleading conclusion. I haven't look at the data itself but I understand their complaint. I'm not sure the complaint exactly hurts your conclusion in the end but I think they would argue using better statistical methods would help make a better argument.