Explain hypothesis testing and its procedure
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For the testing of hypothesis
The null hypothesis can be thought of as the opposite of the "guess" the research made (in this example the biologist thinks the plant height will be different for the fertilizers). So the null would be that there will be no difference among the groups of plants. Specifically in more statistical language the null for an ANOVA is that the means are the same. We state the Null hypothesis as:
H0:μ1=μ2=⋯=μkH0:μ1=μ2=⋯=μk
for k levels of an experimental treatment.
The null hypothesis can be thought of as the opposite of the "guess" the research made (in this example the biologist thinks the plant height will be different for the fertilizers). So the null would be that there will be no difference among the groups of plants. Specifically in more statistical language the null for an ANOVA is that the means are the same. We state the Null hypothesis as:
H0:μ1=μ2=⋯=μkH0:μ1=μ2=⋯=μk
for k levels of an experimental treatment.
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