Answer

Improper Sampling

            An example of improper sampling is in a case where researcher meets people in a certain place and makes them research subjects. A researcher moves to a nearby Park at noon, and interviews people in regards to consumer satisfaction with certain product or service is a common occurrence in business research.

            This kind of sampling method is called convenience sampling (a non-probability or non-random sampling method where researcher choses a sample that is readily available by use of a non-random or non-probabilistic method) (Sedgwick, 2013). The researcher finds the nearby Park to be readily available, with people that will not take much effort reaching being subjects for the research. The impropriety of this sampling method is in its bias – the inherent bias that it will not represent the entire population. In this example, the location and time of day are especial factors that will create a bias by profiling the kind of people being interviewed. Notably, similar kinds of people attend Parks at noon, to take cool of the scorch. Therefore, these people will likely have similar kinds of idea in regards to the subject, will pose a skew in extrapolation to represent the entire population. Therefore, it curtails the possibility of generalizing the outcome of the research.

            In this case, a simple random sampling technique should have been used to take care of the bias, because of its probabilistic nature – hence sufficient representation of the population is attained.