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1.

An experiment is conducted to evaluate the effect of feed additive [tilts 5%. 10%} and stocking density [5|]. IFS: mu) on the growth of a certain kind of sh. Each combination of additive and densityr is applied to four tanks of fish and at the end of the experiment the weight of 2D sh randomly selected from each tank is recorded. Give the following: Factor: Factor levels: Treatments: Experimental unit: Measurement unit: Response variable: Replication: Consider an experiment conducted by the Department of Entomology of the International Ftice Research Institute to investigate the effects of foliar and granular applications of some selected insecticides far the control of the brown plant hopper and stem borers. The experiment involved six treatments and a control, each replicated four times in a completehr randomized design. Grain yield of rice using different types of foliar and granular insecticides for the control of brown plant hoppers and stem borers. IRRI. Treatment Grain yields (kg/ha) Treatment Treatment Total Mean Dol-Mix (1 kg) 2,537 2,069 2,104 1,797 8,507 2,126.75 Dol-Mix (2 kg) 3,366 2,591 2,211 2,544 10,712 2,678 DDT + y-BHC 2,536 2,459 2,827 2,385 10,207 2,551.75 Azodrin 2,387 2,453 1,556 2,116 8,512 2,128 Dimecron-Boom 1,997 1,679 1,649 1,859 7,184 1,796 Dimecron-Boom 1,796 1,704 1,904 1,320 6,724 1,681 Control 1,401 1,516 1,270 1,077 5,264 1,316 Grand total and mean 57,110 2,039.643 A. Construct an ANOVA table. B. Test the hypothesis of equality of means at 5% level of significance. C. Compute for CV.Consider an experiment comparing 6 rates of seeding in upland rise. Four replicatiuns were used in this experiment. Grain yield of rise variety IRE planted with different rates of seeding IRRL 196? wet sea sun. Treatment Grain yields (kg/ha) Treatment Mean (kg Total seeds/ha) Block I Block II Block Ill Block IV 25 5,113 5,398 5,307 4,678 20,496 5,124 50 5,346 5,952 4,719 4,264 20,281 5,070 75 5,272 5,713 5,483 4,749 21,217 5,304 100 5,164 4,831 4,986 4,410 19,391 4,848 125 4,804 4,848 4,432 4,748 18,832 4,708 150 5,254 4,542 4,919 4,098 18,813 4,703 Block 30,953 31,284 29,846 26,947 Total (B) Grand 119,030 total Grand 4,960 meana. Construct an ANOVA table. b. Test the hypothesis of equality of treatment means at 5% level of significance. c. Test the hypothesis of equality of block means at 5% level of significance. Is the blocking effective? Why/Why not? d. Compute for RE and interpret