In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST= 420 SSTR=150 NT=19. Set up the ANOVA table and test for any significant difference between the mean output levels of the three treatments. Use A=.05.
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square (to 2 decimals) |
(to 2 decimals) |
-value (to 4 decimals) |
Treatments | 150 | ||||
Error | |||||
Total | 420 |
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?
-
Given
No of treatment = k = 3
No of observation =n=20
Df due to treatment = k-1 = 3-1=2
Df due to error =n-k =20-3= 17
SS total = SS treatment + SS error
SS error = 420-150
SS error = 270
MS treatment = SS treatment / df treatment
= 150/2
MS treatment = 75. 00
MS error = SS error / df error
= 270/17
MS error = 15.88
F = ms treatment / MS error
= 75.00/15.88
F = 4.72
The p value for f ratio is 0.0234.
P value = 0.0234
P value is less than 0.05.
So p value is between 0.01 and 0.025.
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