1. Onur DOĞAN

2.  The Classical Interpretation of Probability  The Frequency Interpretation of Probability  The Subjective Interpretation of Probability

3. Experiment and Event: An experiment is any process, real or hypothetical, in which the possible outcomes can be identified ahead of time. An event is a well-defined set of possible outcomes of the experiment.

4.  Sample Space The collection of all possible outcomes of an experiment is called the sample space of the experiment. A: Event S: Collection of all events

5.  The Empty Set Some events are impossible. For example, when a die is rolled, it  is impossible to obtain a negative number. Hence, the event that a negative number  will be obtained is defined by the subset of S that contains no outcomes.

7.  Intersection and union operations have associative and distributive properties.  De Morgan’s Law

8.  Axiom(1) / Axiom(2) / Axiom(3)  Further Properties of Probability:

10.  Obtaining Different Numbers: