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Basic Mathematics-II




                    Notes
                                                 Figure  14.5: An  Aeroplane  with  Four Undependable  Engines










                                   Number the engines: 1,2 (left  wing) and 3,4 (right wing). Scrutinize which engine functions
                                   correctly  during a particular  period  of  time. There are  24 =  16 probable  outcomes  of  the
                                   experiment. Which outcomes cause “system failure”? Furthermore, if the probability of failure
                                   inside some time period is recognized for each of the engines, what is the probability of failure
                                   for the whole system? Again this can be observed as a random experiment. Below are two more
                                   pictures of randomness. The first is a computer-generated “plant”, which appears astonishingly
                                   like a real plant. The second is genuine data representing the number of bytes that are broadcasted
                                   over some communications connection. An appealing trait is that the data can be displayed to
                                   exhibit “fractal” behaviour, that is, if the data is combined into smaller or larger time intervals,
                                   a comparable picture will emerge.

                                                 Figure  14.6 (a):  Plant Growth  (b) Telecommunications  Data




















                                   We hope to depict these experiments by means of suitable mathematical models. These models
                                   is composed of three building blocks: a sample space, a set of events and a probability. We will now
                                   depict each of these objects.





                                      Task  Give an example of random experiments.
                                   Self Assessment


                                   Fill in the blanks:
                                   1.  A ............................... is a mathematical measure of the possibility of the event.
                                   2.  ............................... is an experiment whose result cannot be revealed beforehand, but is
                                       however still dependent on analysis.
                                   3.  A probability of 1 ............................... to a particular event shows that this event  always will
                                       happen.



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