12-23.
1. Ho: pt = p2 = p3 = p4; HA: At least one of the means is different from the others.
P -- value = 0.0004; = 0.01; P -- value < , therefore reject the null hypothesis.
There is statistically significant evidence that at least one of the means is not equal to the
others.
2. Ho: ei = e2 = ; HA: At least one of the means is different from the others.
P --Value = 0.2646; a = 0.01; P -- value > , therefore fail to reject the null hypothesis.
There is no statistically significant evidence to reject the null hypothesis that all the
means are equal to the others.
12-24.
1. Blocking was effective for this study
P -Value blocks(rows) = 0.01364< 0.05 = q
2. ANOVA results are included in the attached Excel file.
Ho: Salinas = Snipers; HA: Salinas # snipers
P -- Value = 0.1638 < 0.05 = a; Fail to reject the null hypothesis.
There is no statistically significant evidence to reject the null hypothesis that the means
are equal.
1. Not applicable because there is not enough statistically significant evidence to reject the
null hypothesis that the means are equal.
12-26.
2. Blocking was employed in this design to determine if there is any statistically significant
difference regarding level of education and method.
3. ANOVA results are included in the attached Excel file
P - Value blocks(rows) = 0.000155 < 0.05 =
The blocking was effective for the study.
4. Ho: doctorate = master's = bachelor's = high schoo1; HA: At least one of the means is different from
the others.
P --Value = 0.1852; = 0.05; P --value > , therefore fail to reject the null hypothesis.
There is not enough evidence to reject the null hypothesis that the means are equal.
5. Not applicable because there is not enough statistically significant evidence to reject the
null hypothesis that the means are equ