1. There is no difference in the means of the household incomes of three
different groups of subject’s years of education. H0:U1=U2=U3
There are differences in the means of the household incomes of three
different groups of subject’s years of education. H1:X1no equal X2 no
equal X3
2. ANOVA is an appropriate test to perform to find the differences in
means of more than two different groups. ANOVA can be used to
compare the variabilities among the groups. In ANOVA the F statistic is
used because computes the differences between many groups in
relation to the differences in the groups themselves. F computes the
deviation amid the means of the groups and the total mean for all
groups as well. The Denominator will give you the deviation of the
separate scores from each group’s means. When the difference in the
means of many groups are large compared to the deviation of the scores
from the group means, the F value is large. The means are more accurate
the smaller the denominator is.
3. T tests can increase the fortunate chances of finding an outcome by
chance, after changing the probability of error. For instance, someone
with a bad knees’ chances are higher of winning a goal kicking contest
the more chances they have to kick the ball in the contest.
6. you would not use a one nor a two tailed test because the F statistic
measures the full differences in the whole mean and group means
even if one mean surpasses anther mean.