Page 140 - Data Science class 10
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Now, when you throw the coin up in the air, what is the chance of getting a head? Anybody will answer that the
        probability is 50%, i.e. ½ or half? Similarly, the probability of getting a tale is 50%, i.e. again ½ or half. However, the
        likelihood of getting a third side on a coin is NIL, as getting a third side on a coin with only two sides, the head and
        tail, is impossible. Thus, in this case, the probability is zero.
        The distribution of an event includes all potential values in addition  to the input values that  are visible. The
        following table will provide the distribution of the coin-tossing event:

                                           Event Outcome           Probability
                                               Head                50% or 0.5

                                                Tail               50% or 0.5
                                           Other possibility        Zero or 0

        There is a 0.5 probability of getting the head. Getting the tail has a 0.5 probability, and so forth. When the sum
        of probabilities equals 1% to 100%, you can be certain that you have used all possible values. The probability of
        occurring for all other values besides this is zero.

                                                      Tossing a Coin
                       0.6


                       0.5

                       0.4

                       0.3

                       0.2

                       0.1

                        0
                                          H e a d                                l i a T
                                                       Tossing a coin
        This type of distribution is called as a Uniform Distribution.
        However, it's important to keep in mind that in statistics, distribution is determined by underlying probabilities,
        not  by  the  graph,  which  is just a  visual depiction.  In  the  previous class, we  had  covered  the  topic  of  data
        visualisation.
        Let's extend the tossing of a coin example to include tossing two coins. The possible outcomes are Head-Head,
        Head-Tail, Tail-Tail, and Tail-Head, which are simple to predict. All possible combinations are shown in the following
        table:

                                           Event Outcome           Probability

                                             Head-Head                .25
                                              Head-Tail               .25

                                              Tail-Head               .25
                                               Tail-Tail              .25
                                           Other possibility           0

        By looking at the graph, we can understand that the probability of getting a head on both coins is 0.25. Similarly,
        the probability of getting the head on one coin and the tail on another is 0.25. The probability of getting the tail on
        one coin and the head on another coin is 0.25. And the probability of getting the tail on both coins is 0.25.

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