9. In ANOVA analyses, when the null hypothesis is rejected, we can t.pdf

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9. In ANOVA analyses, when the null hypothesis is rejected, we can test for differences between treatment means by _____________. (Points : 1) Constructing confidence intervals Adding another treatment Doing an additional ANOVA Doing a t test Solution Doing an additional ANOVA.

9. In ANOVA analyses, when the null hypothesis is rejected, we can test for differences between
treatment means by _____________. (Points : 1)
Constructing confidence intervals
Adding another treatment
Doing an additional ANOVA
Doing a t test
Solution
Doing an additional ANOVA

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8.12 How does power relate to Type II errors? Solution A type II error, also known as an error of the second kind, occurs when the null hypothesis is false, but it is erroneously accepted as true. It is missing to see what is present, a miss. A type II error may be compared with a so-called false negative (where an actual \'hit\' was disregarded by the test and seen as a \'miss\') in a test checking for a single condition with a definitive result of true or false. A Type II error is committed when we fail to believe a truth.[1] In terms of folk tales, an investigator may fail to see the wolf (\"failing to raise an alarm\"; see Aesop\'s story of The Boy Who Cried Wolf). Again, H0: no wolf. The rate of the type II error is denoted by the Greek letter (beta) and related to the power of a tes.

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