Point and Interval estimation. Sampling distributions, central limit theorem, simulations and Bootstrap. Bayesian inference, posterior distribution. Hypotheses testing using confidence intervals, ratio tests, simulated null distributions and power function. A student cannot get credit for this module with a WST undergraduate major.
Admission to either BScHons Statistics and Data Science or BComHons Statistics and Data Science.
1 lecture per week
Language of tuition
Module is presented in English
Period of presentation
Semester 1 or Semester 2
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