Q2. Field experiment was applied to 4 locations in Maui, to study the growth of sugarcane along elevation gradient. Four treatments of irrigation were applied for each location. If you have the following: Total SS = 355, SST = 100, SSB = 90
(a): Construct ANOVA table (b): If tabulated F for treatments and blocks = 3.86, is there any significant differences between treatments and between blocks at α = .05?
-SHOW WORK PLEASE AND DON'T USE EXCEL-
df(treatment) =number of treatment-1 =4-1=3
df(blcoks) =number of blocks-1 =4-1=3
df(error) =df(treatment)*df(blcoks)=3*3=9
SS(error) =355-100-90=165
MS(error )=SS/df =165/9 =18.33
MST =SST/df =100/3=33.3333
MSB =90/3 =30
also since F (treatment) =MST/MSE =1.818
and MS(blcoks) = MSB/MSE =1.636
Source | SS | df | MS | F |
treatment | 100.00 | 3 | 33.3333 | 1.818 |
blocks | 90.00 | 3 | 30.0000 | 1.636 |
error | 165.00 | 9 | 18.3333 | |
total | 355.00 | 15 |
b)
since F statistic is less than 3.86 , we can not conclude that there is any significant differences between treatments and between blocks at α = .05
Get Answers For Free
Most questions answered within 1 hours.