Univariate Data Analysis

As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data. Such assumptions usually include the type of sampling process that produced the data and in some cases the nature of the population distribution from which the sample was drawn. When assumptions are violated the techniques employed can lead to misleading results. Good statistical practice therefore requires that the data be studied in detail before statistical inference procedures are applied. The techniques of exploratory data analysis are designed to provide such a preliminary view.

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