Question

By looking at a large Statistics Canada data set with over 60,000 observations for the year 2018, you find that the average number of years of education is approximately 15.6. However, a surprising large number of individuals (approximately 800) have quite a low value for this variable, namely 6 years or less. You decide to drop these observations, since none of your relatives or friends have that few years of education. In addition, you are concerned that if these individuals cannot report the years of education correctly, then the observations on other variables, such as their average hourly earnings, can also not be trusted. As a matter of fact, you have found several of these to be below minimum wages in Ontario in 2018.

Discuss if dropping these odd observations is reasonable.

Answer 1

Ans .yes ,ofcourse dropping odd observations is reasonable .All those observations that does not form any kind basis or base less can not be credible.even its does not have any kind evidence from relatives and friends or even it is not able to prove its any point appropiately with strong evidence therefore using this information or observation for further analysis or study completely meaning less because this data consist lack of information even given data does not seem credible .even this data not able to satisfy  the need of information that is required.so.there is a risk to using this information it might be used incorrect methodology to collect the data.Therefore its good idea to drop this information.