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This bachelor’s thesis in statistics explores frequentist and bayesian methods for parameter estimation and compares their usefulness when applied to opinion polls of party sympathies in the Swedish political system. Through simulation in R, random samples are generated from a population modelled after the Swedish electorate at various points during the 2010s and 2020s. The party for which each in