Chapter 16: One-Way Analysis of Variance
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Solution:
Based on the display, we would expect the sample means to be
significantly different, as in this illustration. We would also expect the
variation among the sample means (between sample) to be large, relative to
the variation found around the individual sample means (within sample).
Thus one may infer that there would be a significant difference between the
population means.
Figure 16-5:
Samples from normal populations with
significantly different means
These examples provide us with a sense of whether or not there is a
significant difference among the population means. However, they cannot
help us evaluate how likely it is that any observed difference is due to
sampling variations or variations in the sample data. In this chapter, we will
present procedures which will help us determine how likely it is that the
observed differences among the sample means are due to sampling error and
whether this implies that there are significant differences among the
population means. Such procedures belong to a broad group of statistical
methods called
ANalysis Of VAriance (ANOVA)
.
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