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Measures of Central Tendency  Measures of central tendency
locate a distribution of data along an appropriate scale.  The
following table lists the functions that calculate the measures
of central tendency.  Function Name    Geometric mean   Harmonic
mean   Arithmetic average   50th percentile   Most frequent
value   Trimmed mean  The average is a simple and popular
estimate of location. If the data sample comes from a normal
distribution, then the sample mean is also optimal (minimum
variance unbiased estimator (MVUE) of µ).  Unfortunately,
outliers, data entry errors, or glitches exist in almost all
real data. The sample mean is sensitive to these problems. One
bad data value can move the average away from the center of the
rest of the data by an arbitrarily large distance.  The median
and trimmed mean are two measures that are resistant (robust) to
outliers. The median is the 50th percentile of the sample, which
will only change slightly if you