A farm animal feed company is developing a new line of pig feed. It has created four different formulations and is interested in knowing which pig feed is most efficient at fattening them up. 12 pigs from 3 different litters (A,B and C) were selected, 3 pigs from each litter were exclusively fed one type of feed (1, 2, 3 or 4). After 2 years each pig was weighed. Litters were used as blocking effect to control for the possiblility of genetics playing a role in size. The total standard deviation of dataset was 1.64. Interactions were found to be not significant. A summary of the cell and column means is given below. 2 Feed 1 3 4 Litter A 115.60 116.44 ? 116.75 Litter B 115.51 116.46 ? 116.69 114.91 116.38 118.54 117.42 Litter C Column Mean 115.34 116.43 119.11 116.95 Note that two of the cell means are not given on purpose, however the following partial ANOVA table is supplied. Source Feed Type DF SS MS F Litter Error Total 0.294 Calculate the total degrees of freedom [1 pt(s)] Submit Answer Tries 0/1 Calculate the error degrees of freedom Submit Answer Tries 0/1 [1 pt(s)] Calculate the degrees of freedom for the blocking factor [1 pt(s)] Submit Answer Tries 0/1 Calculate the degrees of freedom for the feed type [1 pt(s)] Submit Answer Tries 0/99 Calculate the Sum of Squares for the Feed Type Submit Answer Tries 0/3 [1 pt(s)] Calculate the Sum of Squares for the litter [1 pt(s)] Submit Answer Tries 0/3 Calculate the Sum of Squares of the Error Submit Answer Tries 0/3 [1 pt(s)] Calculate the total Sum of Squares Submit Answer Tries 0/3 [1 pt(s)] Calculate the Mean Square for the Feed Type Submit Answer Tries 0/3 [1 pt(s)] Calculate the MSE [1 pt(s)] Submit Answer Tries 0/3 Calculate the F statistic for Feed Type [1 pt(s)] Submit Answer Tries 0/3 Is there a significant feed effect at a = 0.01? Yes there is a significant effect No there is not a significant effect [1 pt(s)] Submit Answer Tries 0/1 Calculate the F statistic for litter [1 pt(s)] Submit Answer Tries 0/3