Page 14 - Probability Demystified
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CHAPTER 1 Basic Concepts                                                     3

                     outcomes of the sample space. (Note: It is sometimes necessary to consider
                     an event which has no outcomes. This will be explained later.)
                        An event with one outcome is called a simple event. For example, a die is
                     rolled and the event of getting a four is a simple event since there is only one
                     way to get a four. When an event consists of two or more outcomes, it is
                     called a compound event. For example, if a die is rolled and the event is getting
                     an odd number, the event is a compound event since there are three ways to
                     get an odd number, namely, 1, 3, or 5.
                        Simple and compound events should not be confused with the number of
                     times the experiment is repeated. For example, if two coins are tossed, the
                     event of getting two heads is a simple event since there is only one way to get
                     two heads, whereas the event of getting a head and a tail in either order is
                     a compound event since it consists of two outcomes, namely head, tail and
                     tail, head.

                     EXAMPLE: A single die is rolled. List the outcomes in each event:
                        a. Getting an odd number

                        b. Getting a number greater than four
                        c. Getting less than one


                     SOLUTION:
                        a. The event contains the outcomes 1, 3, and 5.
                        b. The event contains the outcomes 5 and 6.

                        c. When you roll a die, you cannot get a number less than one; hence,
                           the event contains no outcomes.




                                                                     Classical Probability


                     Sample spaces are used in classical probability to determine the numerical
                     probability that an event will occur. The formula for determining the
                     probability of an event E is

                                 number of outcomes contained in the event E
                          PðEÞ¼
                                 total number of outcomes in the sample space
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