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Introduction to descriptive statistics
Introduction toDescriptive StatisticsJackie NicholasMathematics learning CentreUniversity of SydneyNSW 2006c 1999 University of SydneyAcknowledgementsParts of this booklet were previously published in a booklet of the same name by theMathematics learning Centre in 1990. The rest is wish to thank the Sue Gordon for her numerous suggestions about the content and bothSue and Usha Sridhar for their careful NicholasJanuary 1999 Contents1 Measures of Central The Mean, Median and 32 Measures of The Range.
Mathematics Learning Centre, University of Sydney 7 We can now take the mean of these squared deviations. This is called the variance. Variance = 1+49+64+25+16+9 6 =27.33. The variance is a very useful measure of dispersion for statistical inference, but for our purposes it has a major disadvantage. Because we squared the deviations, we now have
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