Select Page
• Probability generaly refers to an event whose outcome is unknown – if we would know the outcome we do not need to check probability. Probability tells us how often some outcome is likely to occur when an experiment is repeated.
• Conditional probability – tells us probability of some outcome given that another outcome has occured.
• trials – probability is inseparably connected with outcome of trials (experiments / observations)
• events – event is outcome of a trial
• union – several simple events create a compound event
• sample space – set of all possible elementary outcomes of a trial – set of events
• intersection – of two or more simple events creates a compound event that can occure only if all the simple events occur
• complement of an event – basically “all around events which is not event”
• mutual exclusivity – events which cannot occure together are mutually exclusive
• independent events – outcomes of different events have no relationships
• permutations – all the possible ways elements in a set can be arranged + order is important
• combinations – like permutations but order of elements is not significant