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Statistical inference is about drawing conclusions regarding the state of nature or society based on statistical data, statements equipped with appropriate measures of uncertainties. The Bayesian and the frequentist are the two main schools of statistical inference. These two schools agree in essence that a model specifying the distribution of the data is necessary to make inference regarding the question at hand. They disagree, however, on whether a prior distribution not based on the data is needed.