Abstract
In Chapter 2 we showed how to reduce a mass of data to a more understandable form by classifying or grouping it and then depicting it diagrammatically. In this and the next chapter we shall consider certain statistical parameters which measure the principal characteristics of a distribution. The first parameter is a measure of the centre of a distribution. As we have seen in section 3.6 the mean (arithmetic mean) μ of a distribution is equal to the expectation of x. Also the sample mean x̄ is an estimate of μ so that it is natural to use the mean or the sample mean as an estimate of central tendency.
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© 1968 Springer Science+Business Media New York
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Mulholland, H., Jones, C.R. (1968). Measures of Central Tendency. In: Fundamentals of Statistics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-6507-3_5
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DOI: https://doi.org/10.1007/978-1-4899-6507-3_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-6240-9
Online ISBN: 978-1-4899-6507-3
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