Page 10 - Life Insurance Today March 2016
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the probability of the occurrence of an event of getting         b. A queen;
Head on upper side is one out of the two. Here, in this first    c. A black card.
case, the probability is 0.5 (i.e. ½) which is equal to (=) the
ratio of:                                                        a. Probability in this case is                          13 1
Nos. of favourable events that may occur in this case                      No. of favourable events of getting 13     ==
                                                                           cards of Heart suit out of total 52 cards
Total number of mutually exclusive & exhaustive events.                    so there may be 13 ways                        14

But in the second case there are likely six outcomes                  P=
(events) possible on throwing a dice. They are, either face                There being 52 cards & any one may
numbered 1 or 2 or 3 or 4 or 5 or 6 may turn up. All these                 come so 52 nos. equally & mutually
six events are mutually exclusively, i.e. no two of them can               exclusive and exhaustive ways
occur simultaneously. Secondly there are only six possible
events i.e. they are exhaustive events. Out of these             b. Probability in this case is                           41
mutually and exhaustive six events, only one is favourable                 No. of favourable events of getting 4      = 52 = 13
to face up, say number 2 turning up on top. Thus the                       cards of Heart suit out of total 52 cards
probability of the event of getting face numbered 2 on top                 so there may be 4 ways
is one out of six. Here, in the second case, the probability
is 0.166667 i.e. 1/6 which is equal to (=) the ratio of:              P = There being 52 cards & any one may
Nos. of favourable events that may occur in this case                      come so 52 nos. equally & mutually
                                                                           exclusive and exhaustive ways
Total numbers of mutually exclusive & exhaustive events.
                                                                 c. Probability in this case is                          26 1
C. Mathematical definition of probability:                                 No. of favourable events of getting 26     ==
                                                                           cards of Heart suit out of total 52 cards
In general,probability has been defined mathematically as                  so there may be 26 ways                       52 2
under:
If an event can happen in M ways out of N equally likely,             P=
mutually exclusive and exhaustive ways then the                            There being 52 cards & any one may
probability that the event will happen when a trail is made                come so 52 nos. equally & mutually
is M/N.                                                                    exclusive and exhaustive ways

Example: Out of a pack of 52 cards, if one card is drawn         The mathematical definition of probability has a limited
at random, let us examine what is the probability that the       use, as in very limited situations it is possible to decide
card drawn is -                                                  total number of equally likely mutually exclusive and
a. A Heart;                                                      exhaustive ways out of which some are favourable to a
                                                                 particular event. So we need to go for more effective
                                                                 definition of probability.

                                                                 D. Statistical definition of probability:

                                                                 If out of 'N' number of trials, an event happens in 'M' trials
                                                                 then the fraction N/M is called the relative frequency. The
                                                                 limit of the relative frequency as the number of trials is
                                                                 increased indefinitely is defined as the probability of
                                                                 occurrence of an event when a trail is made. The statistical
                                                                 definition is based on experimentation. It is assumed that
                                                                 the values of relative frequency 'N/M' do cluster more and
                                                                 more closely round a limiting value, say 'P', as 'N' becomes
                                                                 larger and larger.

    "I am so clever that sometimes I don't understand a single word of what I am saying."

10  March 2016                                                                             Life Insurance Today
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