MATH 110 Module 3
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1. probability a numerical measure of the likelihood that an event will occur
2. random experiment a process that generated well-defined experimental outcomes
3. sample space (for an experiment) the set of all experimental outcomes
4. sample point an experimental outcome
5. two rules of probabilities 1) 0 <= P(Ei) <= 1
2) sum of all P(Ei) = 1
6. classical method of calcu- assigning probabilities on the assumption of equally likely outcomes
lating probabilities
7. relative frequency method (empirical method) assigning probabilities based on experimenta-
of calculating probabilities tion or historical data
8. event a collection of sample points
9. probability of an event equal to the sum of the probabilities of the sample points in the
event
10. union the event containing all sample points belonging to the events in the
union (A U B)
11. conditional probability the probability of an event given that another event has occurred
1/1
Study online at https://quizlet.com/_a1vgqq
1. probability a numerical measure of the likelihood that an event will occur
2. random experiment a process that generated well-defined experimental outcomes
3. sample space (for an experiment) the set of all experimental outcomes
4. sample point an experimental outcome
5. two rules of probabilities 1) 0 <= P(Ei) <= 1
2) sum of all P(Ei) = 1
6. classical method of calcu- assigning probabilities on the assumption of equally likely outcomes
lating probabilities
7. relative frequency method (empirical method) assigning probabilities based on experimenta-
of calculating probabilities tion or historical data
8. event a collection of sample points
9. probability of an event equal to the sum of the probabilities of the sample points in the
event
10. union the event containing all sample points belonging to the events in the
union (A U B)
11. conditional probability the probability of an event given that another event has occurred
1/1
