![]() A one-way ANOVA tests to see if at least one of the treatment means is significantly different from the others. For example, a biologist wants to compare mean growth for three different levels of fertilizer. In the previous chapter we used one-way ANOVA to analyze data from three or more populations using the null hypothesis that all means were the same (no treatment effect).
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