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A two-factor factorial experiment is conducted to compare fleece weights of Meri

ID: 3312627 • Letter: A

Question

A two-factor factorial experiment is conducted to compare fleece weights of Merino, Suffolk, and Dorset ewes fed one of two diets. Two ewes of each breed are randomly assigned to each diet. The fleece weights (in pounds) are as follows:

       Merino    Suffolk    Dorset        

Diet 1          14                   9                    8

15                 10                  8

Diet 2 13 8    11

12                  9                 12

The partially completed ANOVA table is as follows:

Source df SS MS F   

Total                          66.2500

Diet                             0.0833       0.0833       0.19992

Breed                        46.5000     23.2500     55.79955

Diet x Breed              17.1667    

Error                            2.5000      0.41667

The correct values for the diet x breed mean squares and F value, respectively, are:

A 2 x 4 factorial experiment is conducted to compare yields of 4 varieties of soybeans that are planted in rows either 15 inches or 30 inches apart. Two plots of ground are randomly assigned to each combination of soybean variety and row spacing. The yields of soybeans (in bushels per acre) are as follows:

The partially completed ANOVA table is as follows:

Should we reject or not reject the null hypothesis for the interaction between variety and row spacing? Use a significance level of = 0.05.

8.58335 and 20.59988

Explanation / Answer

1) here diet *breed df =(type of diet-1)*(type of breed-1) =(2-1)*(3-1) =2

tehrefore MS =SS/df =17.1667/2=8.58335

and test statistic F =MS/MSE =8.58335/0.41667=20.59988

therefiore correct option =8.58335 and 20.59988

2)

degree of freedom for interaction =(type of variety-1)*(type of row spacing-1)=(4-1)*(2-1)=3

tehrefore MS =SS/df =31.5/3=10.5

and test statistic F =MS/MSerror =10.5/2.75=3.818

for critical value at 0.05 level and (3,8) degree of freedom =4.066

correct option is :

Because the calculated F value (3.818) is not greater than the F value from the table (4.07), we do not reject the null hypothesis.

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