Let ? be a sample space with elementary events { ? }.
2.
An event containing exactly one outcome is called an elementary event.
3.
These elementary events ( which he called occasions ) are in part mental.
4.
Subsets of the sample space that contain only one element are called elementary events.
5.
These can be identified with elementary events that the event to be measured consists of.
6.
The elementary event in 1988 was a success, she said, so she came up with the idea of combining all divisions of competition into one mega-event.
7.
In the case of the die each elementary event has the same probability-- thus the probability of each outcome of throwing a ( perfect ) die is 1 / 6.
8.
If elementary events are assigned equal probabilities, then the probability of a disjunction of elementary events is just the number of events in the disjunction divided by the total number of elementary events.
9.
If elementary events are assigned equal probabilities, then the probability of a disjunction of elementary events is just the number of events in the disjunction divided by the total number of elementary events.
10.
If elementary events are assigned equal probabilities, then the probability of a disjunction of elementary events is just the number of events in the disjunction divided by the total number of elementary events.
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