In a completely randomized design, 12 experimental units were used for the first treatment, 15 for the second treatment, and 20 for the third treatment. Complete the following analysis of variance (to 2 decimals, if necessary). If the answer is zero enter "0".
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | 1400 | ||||
Error | |||||
Total | 1800 |
At a .05 level of significance, is there a significant difference between the treatments?
The p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 9
What is your conclusion?
df treatments = k -1 = 3 - 1 =2
df error = N-k = (12+15+20) - 3 = 44
df total = N-1 = 47-1= 46
means square = SS/df
Fstat = MS treatment/MSerror = 700/90.09=77
p-value = 0.0000
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | 1400.0 | 2 | 700.0000 | 77.0000 | 0.0000 |
Error | 400.0 | 44 | 9.0909 | ||
Total | 1800.0 | 46 |
p-value is less than 0.01
reject Ho,
there is a significant difference between the treatments at α=0.05
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