In an example in the text, an independent samples analysis of variance example from a previous chapter was converted to be used in a repeated-measures analysis of variance. Recalculating the F value with a repeated-measures analysis of variance yields an F value that is
a. less than the F value yielded by the independent measures ANOVA.
b. greater than the F value yielded by the independent measures ANOVA.
c. the same as the F value yielded by the independent measures ANOVA.
d. not predictably different from the F value yielded by the independent measures ANOVA.
Question 2
In the printout of results for a repeated-measures analysis of variance, an F score for mean or constant sometimes appears. Why is this statistic often not interesting even if it is significant?
a. It shows differences between time sessions which are not important.
b. It is a randomly generated number.
c. It shows that the population mean is or is not equal to zero which is often of no interest.
d. It is redundant information given the F score for the time variable.
Analysis of the dihybrid crosses
R-loop experimental analysis
QTL analysis in introgression lines
Genetic complementation analysis
Independent assortment versus genetic linkage
Morgan’s analysis of genetic linkage of X-linked genes for eye color