A bias is an error that results in a misrepresentation of a whole population.
See solution.
Practice makes perfect
The manager of a concert hall wants to know how often people in the community attend concerts, so he asks 45 people already in line for a concert how many concerts they attend per year. Here, the population consists of all the people in the community and the sample is the 45 people asked. Samples can be classified into different categories.
Members that are readily available or easy to reach are selected.
The manager asks people who are already available, so this is a convenience sample. The sample is biased because the people asked are already going to the concert. This is sample that may overrepresent part of the community. The people being surveyed may be more likely to attend concerts.
