Bayesian Statistics for Beginners: a step-by-step approach
In a nutshell, the way I have understood it, given a specific set of data, the frequentist believes that there is a true, underlying distribution from which said data was generated. The inability to get the exact parameters is a function of finite sample size. The Bayesian, on the other hand, think that we start with some assumption about the param... See more
When are Bayesian methods preferable to Frequentist?
compensated for flawed estimates of the population mean and standard deviation by accounting for the sample size to modify the z-distribution into the t-distribution.