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). Round p-value to four decimal places. If your answer is zero enter "0".
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | 1,300 | ||||
Error | |||||
Total | 1,800 |
At a .05 level of
significance, is there a significant difference between the
treatments?
The p-value is Selectless than .01between .01 and
.025between .025 and .05between .05 and .10greater than .10
What is your conclusion?
SelectConclude not all treatment means are equalCannot reject the
assumption all treatment means are equal
Answer :
Treatment 1 = 12
Treatment 2 = 15
Treatment 3 = 20
So,Total treatment n = 47
Degree of freedom df = n - 1 = 47 - 1 = 46
Level of significance
the table becomes as :
Source | SS(Sum of square) | DF(Degreeof freedom) | MS(Mean square) | F | P value |
Treatment | 1300 |
=k - 1 = 3 - 1 = 2 |
= 1300 / 2 = 650 |
= 650 / 11.36 = 57.22 |
0.0001 |
Error |
= 1800 - 1300 = 500 |
= n - k = 47 - 3 = 44 |
= 500 / 44 = 11.36 |
||
Total | 1800 |
= 2 + 44 = 46 |
We get p value = 0.0001
i.e p value less than 0.01
So,we reject null hypothesis.
YES,there a significant difference between the treatments.Conclude not all treatment means are equal
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