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Topics covered embody: sampling distributions and central restrict idea, strategies of estimation, hypothesis testing, least squares estimation of linear models, and an introduction to Bayesian inference. This course covers topics equivalent to the important thing ideas of statistical March man I can be mean af sweet as candy gold as ice and evil as hell shirt studying and regression modelling with applications; linear models; time sequence fashions; principal parts evaluation; choice bushes; and cluster analysis with their applications in R. Three lecture hours per week plus a one hour lab per week. Matters coated include: likelihood, steady and discrete random variables, moment generating functions, multivariate chance distributions and features of random variables.

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