For the following, A = attract
For the following, A = attractiveness and B=time; same levels.Conduct a two-factor fixed effects ANOVA (alpha=.05).
A₁B₁: 10, 8, 7, 3
A₁ B₂: 15, 12, 21, 13
A₂ B₁: 13, 9, 18, 12
A₂B₂: 20, 22, 24, 25
A₃ B₁: 24, 29, 27, 25
A₃ B₂: 10, 12, 21, 14
A₄ B₁: 30, 26, 29, 28
A₄ B₂: 22, 20, 25, 15
Answer:
Answer For the Fixed Effects Model of the above problem
Factors are
1 . Attracttiveness A: 4 levels(a) – A1,A2, A3 and A4
2. Time B 2 levels (b)B1 and B2
There are 4 replications(n).
Hence for Anova Effect and noof degrees of freed om will be
EffectDegrees ofFreedom
A a-1= 4-1 =3
B b-1= 2-1=1
AB interaction(a-1)*(b-1)= 3*1 = 3
Error a*b*(n-1)=4*2*(4-1)=24
Total 4*2*4-1=31
ANOVA table can be derived using Minitab based on the data /ormanually calculated (lengthy)
in mintab use following steps to get the ANOVA results
1. put data as per following format in worksheet.
2.choose Stat > ANOVA > Two-Way.
3. Select Response as Response ,Row Factor as “Attractivenessand Column Factor as “Time”
Check confidence level at 95%, Click OK . you will get ANOVA onsession window output. The same is given below
Two-way ANOVA: Response versus Attractiveness, Time
Source DF SS MS F PAttractiveness 3 738.59 246.198 21.35 0.000Time 1 1.53 1.531 0.13 0.719Interaction 3 732.84 244.281 21.18 0.000Error 24 276.75 11.531Total 31 1749.72
S = 3.396 R-Sq = 84.18% R-Sq(adj) = 79.57%
The above Table is the ANOVA table ,
As p value is lower for Attractiveness and Interaction it can besaid that there is significant effect for attractiveness andintercation of attractivess and time interaction. and effect oftime is not significant.
Datasheet ———————-
Attractveness Time ResponseA1 B1 10A1 B1 8A1 B1 7A1 B1 3A1 B2 15A1 B2 12A1 B2 21A1 B2 13A2 B1 13A2 B1 9A2 B1 18A2 B1 12A2 B2 20A2 B2 22A2 B2 24A2 B2 25A3 B1 24A3 B1 29A3 B1 27A3 B1 25A3 B2 10A3 B2 12A3 B2 21A3 B2 14A4 B1 30A4 B1 26A4 B1 29A4 B1 28A4 B2 22A4 B2 20A4 B2 25A4 B2 15