When running a Bayesian independent samples t-test, having an uninformative prior means that Option A There is no prior knowledge about the groups being compared. Option B One of the assumptions has been violated. Option C There is an insufficient sample size to perform the analysis. Option D There is no difference between the groups being compared.I wish to use Bayesian Theorem to calculate the probability of a volcano eruption given that it's raining, which can be stated according to Bayes Theorem as: P(eruption|rain). In this calculation using Bayes Theorem, what would the denominator be? Option A The probability of an eruption occurring given that it's raining. Option B The probability of a volcano eruption. Option C The probability of rain given a volcano eruption. Option D The probability of rain