Respuesta :
Multiple t-tests accumulate the risk of a Type I error is the principal reason why you should use ANOVA instead of several t-tests to evaluate mean differences when an experiment consists of three or more treatment conditions. Thus, option C is correct.
What is an experiment?
An action or course of action carried out under controlled circumstances with the goal of discovering an undiscovered consequence or law, testing or establishing a thesis or illuminating an established law.
We shall continue to use the alpha value P ≤ 0.05 when doing a t-test. This indicates that we will tolerate 5% of Type 1 errors. if there are three therapies.
When comparing the means of three or many groups, we may perform an ANOVA rather than numerous t-tests since on every occasion we perform a t-test there is a probability that a Category I error will be produced. Every t-test typically has a 5% error rate.
Therefore, option C is the correct option.
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The question is incomplete, the complete question will be:
O ANOVA is better suited to expressing the treatment condition as a discrete variable.
O Multiple t-tests are prohibitively expensive and time-consuming
O Multiple t-tests accumulate the risk of a Type I error.
Multiple t tests accumulate the risk of a data entry error ANOVA, as a more advanced technique, makes a research report appear more professional
