I need the question so I can help you lol
Answer:
<em>To reject such a null hypothesis, </em><u><em>at least one</em></u><em> </em><em>of the treatment mean must be different from the other treatment means. </em>
Explanation:
In the ANOVA, there are two possible hypotheses:
- The null hypothesis, H₀: μ₁=μ₂=μ₃=μₙ. It states that all treatment means are equal to each other.
- The alternative hypothesis, H₁ states that at least one of the treatments means is different.
When the p-value of the ANOVA test is inferior to the alfa-level of signification chosen for the analysis, then we can reject the null hypothesis. This means that there is <u>at least one</u> mean of the groups under study that is different from the rest.
<em>We can get all the means values different from each other, or just some of them. But </em><em>having only one different mean value is enough to reject the null hypothesis</em><em>. </em>
Answer:
Hope this helps
Explanation:
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