If the outcomes of a random experimenta are not equally likely then how statistical or empirical definition can be used to obtain the probability of each outcomes
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Step-by-step explanation:
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Step-by-step explanation:
Some Fundamental Concepts
One of the most basic concepts in probability (and statistics) is that of a random experiment. Although a more precise definition is possible, we will restrict ourselves here to understanding a random experiment as a procedure that is carried out under a certain set of conditions; it can be repeated any number of times under the same set of conditions; and upon the completion of the procedure, certain results are observed. The results obtained are denoted by and are called sample points. The set of all possible sample points is denoted by and is called a sample space. Subsets of are called events and are denoted by capital letters , etc. An event consisting of one sample point only, , is called a simple event, and composite otherwise. An event A occurs (or happens) if the outcome of the random experiment (that is, the sample point ) belongs in ; A does not occur (or does not happen) if . The event always occurs and is called the sure or certain event. On the other hand, the event never happens and is called the impossible event. Of course, the relation between two events and means that the event occurs whenever A does, but not necessarily the opposite. (See Figure 2.1 for the Venn diagram depicting the relation .) The events and are equal if both and .