Finds the parameters of the normal posterior with normal data and a normal prior
normal_update(prior, data, teach=FALSE)
Arguments
prior: vector with components mean and sd of the normal prior
data: vector with components the sample mean and the standard error of the estimate
teach: logical variable indicating the form of the output
Returns
If teach = TRUE, returns data frame that displays the mean, precision, and standard deviation for the prior, data, and posterior. If teach = FALSE, returns a vector with mean and standard deviation of the posterior.