Testing Proportions From Two or More Populations
As we have seen in earlier chapters, statistical inference involves a claim about some unknown population characteristic, like the population mean. The techniques used have relied on assumptions about the population the sample data were drawn from. Those techniques are said to be parametric in that they measure the degree to which sample data reflect the assumed population parameter (for example, μ for a test of population means). In contrast, chi-square (χ2) analysis examines hypotheses about some property of the distribution being sampled. Chi-square analysis is an example of a set of techniques that are said to be nonparametric because they require fewer assumptions about the nature ...
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