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Mathematics Semester 3  STPM  Chapter 2 Probability

                    Example 14

                 A number is randomly picked from a set of integers, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.
                 (a)  Find the sample space of the above experiment.
                 (b)  List the outcomes in the following events for the above experiment.
                     (i)  The number is divisible by 3.
                     (ii)  The number is an even number.
                     (iii)  The number is 11.
                     Note:  By picking an integer at random, we mean that each integers has equally likely chance of
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                          being picked.
           2     Solution:           (a)  There are ten possible outcomes, so the sample space is S = {1, 2, 3, 4, 5,
                                         6, 7, 8, 9, 10}.
                                     (b)  (i)   The event of the number divisible by 3 has three possible outcomes,
                                              3, 6 or 9.
                                              E = {3, 6, 9}
                                         (ii)  The event of obtaining an even number has five possible outcomes,
                                              2, 4, 6, 8, 10.
                                              E = {2, 4, 6, 8, 10}
                                         (iii)  The set has ten integers and none of these integers is 11. So,
                                              picking a number 11 is impossible. We say it is an impossible event
                                              and E = {φ}





               Probability of an event
               If you are planning to visit your friend who is staying nearby, then you look at the sky and you are not sure
               whether it is going to rain. So, you are hesitating to bring along an umbrella with you. This is one of the
               non-deterministic situations that we encounter often. In the real world, many problems cannot be predicted
               with accuracy. Probabilities are thus introduced to deal with situations involving randomness or uncertainty
               about the outcome.
               Probability  is a measure of how likely an event is to happen. In an experiment, if all the outcomes are
               equally likely to occur, then the probability of an event to occur is the number of ways that an event can
               occur divided by the total number of outcomes in the sample space.
                                               number of ways that an event can occur
                                     P(Event) =
                                                  total number of possible outcomes


               The probability of an event is a number between 0 and 1 that indicates the likelihood the event will occur
               as shown below:

                                  P(E) = 0            P(E) = 0.5              P(E) = 1

               Note:  1.  P(E) = 0 means that the event will not occur.
                     2.  P(E) = 1 means that the event is certain to occur.
                     3.  P(E) = 0.5 means that the event is equally likely to occur or not occur.
                     4.  The closer the probability of a given event is to 1, the more likely it is to occur.
                     5.  Probability can be expressed as decimal, fraction, ratio or percentage.
                     6.  For example: P(E) = 0.5,   1   or 50%.
                                             2


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         02 STPM Math(T) T3.indd   82                                                                 28/10/2021   10:21 AM
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