A set of data may include scores that are extremely different from the rest of the group causing suspicion; scores that are remarkably different from the majority are called outliers
http://wiki.answers.com/Q/What+happens+when+a+outl...

1. Inspect the outlier to be sure that it fits qualitatively with the rest of the data. For example, if you ask 20 people to measure the width of a dime, but one of them actually
http://www.ehow.com/how_2265460_rejectoutliersda...

1. Compute the mean using all the data points, including suspected outliers. Ad. 2. Compute the standard deviation using. 3. For each data point, x. i. compute, in a separate column
http://www.wikihow.com/RejectOutliersinData

An outlier in math is a value far from most others in a set of data. Therefore 2.3 would be the
http://www.chacha.com/question/whatisaoutlier
