The Mean is the preferred measure of central tendency because it uses every single score in the distribution. However, it cannot be calculated for nominal and ordinal data, and may not be the best choice when dealing with extreme outliers, as these can skew the mean and make it less representative of the data set.
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Why is the mean considered the preferred method for measuring central tendency?
When might the mean not be the best choice for measuring central tendency?
What happens to the mean in a skewed distribution?
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