Report a formal conclusion for the information beow includin
Report a formal conclusion for the information beow including the results of all tests.
Is there a significant relationship between the three variables?
SS(T) = 40.92
SS(BT)= 37.42
SS(A) = 6.76
SS(B)= 30.16
SS(AxB)=0.50
SS(W)=3.5
df(BT)=5
df(A)=1
df(B)=2
df(AxB)=2
df(W)=6
df(T)=11
MS(A)=6.76
MS(B)=15.08
MS(AxB)=0.25
MS(W)=0.58
F(A)= 11.66
F(B)= 25.86
F(AxB)=0.43
Solution
there are two variables. A,B
taking level of significance as 0.05
##at first we test whether A has any effect or not.
null hypothesis : A dos not have any effect alternative: A has effect
the test statistic is F(A)=MS(A)/MS(W) which under null hypothesis follows an F distribution with dfs
df(A)=1 and df(W)=6
null hypothesis is rejected iff F(A)>F0.05,1,6 where F0.05,1,6 is the upper 0.05 point of an F distribution with dfs
df(A)=1 and df(W)=6.
now F(A)=11.66 > F0.05,1,6=5.987378
hence the null hypothesis is rejected and the conclusion is that A has effect.
##now we test whether B has any effect or not.
null hypothesis : B dos not have any effect alternative: B has effect
the test statistic is F(B)=MS(B)/MS(W) which under null hypothesis follows an F distribution with dfs
df(B)=2 and df(W)=6
null hypothesis is rejected iff F(B)>F0.05,2,6 where F0.05,2,6 is the upper 0.05 point of an F distribution with dfs
df(B)=2 and df(W)=6.
now F(A)=25.86 > F0.05,2,6=5.143253
hence the null hypothesis is rejected and the conclusion is that B has effect.
##now we test for the interaction effect between A and B
null hypothesis : interaction effect between A and B is absent alternative: interaction effect is present
the test statistic is F(AxB)=MS(AxB)/MS(W) which under null hypothesis follows an F distribution with dfs
df(AxB)=2 and df(W)=6
null hypothesis is rejected iff F(AxB)>F0.05,2,6 where F0.05,2,6 is the upper 0.05 point of an F distribution with dfs
df(AxB)=2 and df(W)=6.
now F(AxB)=0.43 < F0.05,2,6=5.143253
hence the null hypothesis is rejected and the conclusion is that A and B dont have interaction effect.
hence there is significant relation between A and B as there is no interaction effect is present between them

