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Why to use the ANOVA over a t-test?

The real advantage of using ANOVA over a t-test is the fact that it allows you analyse two or more samples or treatments (Creighton, 2007). A t-test is appropriate if you have just one or two samples, but not more than two. The use of ANOVA allows researchers to compare many variables with much more flexibility.

When to use an one way ANOVA?

A one-way ANOVA is used when you have one independent variable with multiple conditions. For example, you would use a one-way ANOVA if you wanted to determine the effects of different types of fertilizer on the number of fruits your lemon tree produces. Your independent variable is the fertilizer type.

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