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The table shows the weights (in pounds) and monthly incomes (in dollars) of nine randomly selected women
between the ages of 18 and 65. Assume that the x-values are the weights and the y-values are the monthly
incomes.
Are the x -values matched with the corresponding y-values? That is, is each x-value associated with the
corresponding y-value in some meaningful way? If the x- and y-values are matched, does it make sense to use
the difference between each x-value and the y-value that is in the same column? Why or why not?
Tukey Test
A statistical test used to compare the means of three or more groups to find which pairs of groups differ significantly.
Familywise Error
The probability of making one or more Type I errors across a set of statistical tests.
Critical Value
A point on the scale of the test statistic beyond which we reject the null hypothesis; it determines the cut-off point for significance in hypothesis testing.
Dunnett Test
A statistical test used to compare multiple groups against a single control group without increasing the type I error rate.
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