ContinueSkip to contentBecome an OU studentBA/BSc (Honours) Open degreeCopyrighted image IconBA/BSc (Honours) Open degreeAnalysing dataCopyrighted image IconAnalysing dataBSc (Honours) MathematicsCopyright FREE image IconBSc (Honours) MathematicsCreate your free OpenLearn profileAnyone can learn for free on OpenLearn, but signing-up will GIVE you access to your personal learning profile and record of achievements that you earn while you study. Course contentModelling and estimationModelling and estimationStart this free course now. Just create an account and sign in. Enrol on the course to track your learning.Create account / Sign in More free coursesConclusionFollowing completion of this free OpenLearn course, Modelling and estimation, you should find that your skills in making sense of discrete data are improving.You should now be able to:estimate a probability given data, and calculate a probability when assumptions about the SYMMETRY of an object or situation can be madeunderstand how probabilities of outcomes are encapsulated in the probability mass function (p.m.f.) of models for discrete dataunderstand 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 probabilitiesappreciate that the method of maximum likelihood estimation is an important WAY of estimating a parameter.Step-by-step explanation: ₱ⱡɇ₳₴ɇ ₥₳ɽ₭ ₳₴ ฿ɽ₳ł₦ⱡł₴₮