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.