Asking about the shopping behaviour to people in a mall.
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In math, a biased example could be when, someone asks only males to answer "do you like this product." its when the people chosen to answer the survey/sample is not random
An example of bias: Taking a survey about who likes music and who does not, while standing by the door of a CD store. This is biased because if you are by a music store, most of the people there that you survey will like music. The results will not be completely random, so they will not accurately show what that percentage of the population really thinks about music.
It is where they survey is pretty much already for you Example: Mrs. Wolfe's 5th grade class is given the survey
Large samples can be just as biased as small samples, depending upon how they are selected. For example, you want to do a survey to see how popular the President is, but you only interview men, refusing to interview women. No matter how many men you interview, this bias still exists. A sample of a million men is still biased if you have excluded women. (Although the data are still significant as long as you recognize that the bias exists.)
you can not people can be biased and not biased