A student conducted a Bayesian analysis of increased chocolate consumption and improved test scores. He calculated a Bayes factor of 1. Should he use chocolate consumption as a predictor of improved test scores?
A. No, a Bayes factor of 1 suggests that it is not worth eating more chocolate in order to improve test scores.
B. Yes, a Bayes factor of 1 suggests that it is worth a small increase in chocolate consumption in order to improve test scores.
C. No, a Bayes factor of 1 suggests that the data is corrupted.
D. Yes, a Bayes factor of 1 suggests that it is worth substantially increasing your chocolate consumption in order to improve test scores.
Answer: A
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