Modelling and estimation
Modelling and estimation

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Free course

Modelling and estimation

Learning outcomes

After studying this course, you should be able to:

  • estimate a probability given data, and calculate a probability when assumptions about the symmetry of an object or situation can be made

  • understand how probabilities of outcomes are encapsulated in the probability mass function (p.m.f.) of models for discrete data

  • understand the meaning of the term Bernoulli trial, which describes a single statistical experiment for which there are two possible outcomes, often referred to as ‘success’ or ‘failure’

  • calculate binomial probabilities

  • appreciate that the method of maximum likelihood estimation is an important way of estimating a parameter.


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