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                    Encapsulate
                 math
                                                     DATA HANDlING


                                                         Data


             The information such as figures, facts, numbers, etc. collected for a definite purpose is called data.
             E.g., 17, 20, 9, 12, etc.
             Here, each of the numbers in this example is called an observation.
             Raw Data: The data which are in unorganised form is called raw data.

                        Organising Data                          Graphical Representation of Data

              Tally Marks: A numerical system used
              to make counting easier. Tally marks are
              denoted in the following manner:
              1 = |, 2 = ||, 3 = |||, 4 = |||| , 5 = ||||, and
              so on.


              Frequency Tables: The number of times
              an observation occurs in the data is             Bar Graph             Double Bar Group
              called its frequency.
              Let’s consider the following data and
              organise 5, 7, 3, 5, 5, 7, 3, 9, 3, 5, 5, in a
              table using tally marks.

               Number    Tally Marks   Frequency
                  3           ||           2                   Histogram                 Pie chart

                  5          ||||          5            Ungrouped Frequency Distribution:  A type of
                  7           ||           2            frequency distribution that displays the frequency of
                                                        each individual data value rather than groups of data
                  9           |            1            value.


             Grouped Frequency Distribution: In a grouped       Class       Tally marks      Frequency
             frequency distribution table, we need to make       0-10           |||               3
             the frequency distribution table by dividing the   10-20              ||||           9
             data values into a suitable number of classes with   20-30              |||         13
             appropriate class-size.                            30-40                            10
                                                                40-50                ||||        14
                                                                50-60              ||             7
                                                                60-70           ||||              4
                                                                         Total                   60

                                                           Probability

             The probability of an event (E) is denoted by P(E) and is defined as follows:
                                                                            E
                                           Number of favourable outcomes  n()
                                    P(E) =                              =     ,  where 0 P(E) 1
                                                                                      ≤
                                                                                           ≤
                                                                            S
                                          Total number of possiblle outcomes  n()
                                                                                           1
             E.g., if a die is thrown only once then the probability of getting a prime number is   .
                                                                                           2
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