The problem with the mean is that it is affected by very large or very small values. In statistics, these extreme values might be errors of measurement, but sometimes the population really does contain these values. If a set of data has one of these values, then the mean may not be similar to most or all of the original values. For example, if there are 10 people in a room who make $10 per day and 1 who makes $1,000,000 per day, then the mean of the data is $90,918 per day.
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