Answer:
H0 : //μA = μB = μC
Step-by-step explanation:
Given the data:
Treatment | Observation
A | 20 | 30 | 25 | 33
B | 22 | 26 | 20 | 28
C | 40 | 30 | 28 | 22
To test whether there is a difference between the group means of a sample ; the ANOVA test is employed ;
The appropriate hypothesis test:
The alternative hypothesis will habour the notion that there is a difference in sample means while the alternative will be opposite, that is, no difference exists in the sample means for the three treatments :
Null hypothesis ; H0 : μA = μB = μC ;
The alternative hypothesis, takes the opposite of the null ;
H1 : μA ≠ μB ≠ μC (this means that the mean values of the treatments are not the same
The null hypothesis will
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