Page 26 - Basic Statistics
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                     b.   Ordered data :  3, 4, 4, 5, 5, 7, 8, 8, 9, 10, 10, 10

                            Med   = the value of the data in the ((12+1) / 2)th observation

                                   =  the value of the data in the 6.5th observation

                             Med  = X6 + 0.5 (X7 - X6)

                                   = 7 + 0.5 (7-8) = 7.5


                     c.  Mode

                           Mode is the most frequent events in an event. Thus the mode of a set of

                     data  is  the  data  value  that  has  the  greatest  frequency  or  the  most  frequent.

                     Mode the data can not exist and can not be unique. If there are two modes of a

                     set of data, the so-called bimodal. If there are three modes called trimodal.


                     Worked Example 2.3 :

                            Find the mode of the following data

                     Data  :   a.  6, 4, 3, 5, 5, 6, 6, 6, 7, 9, 8
                                b.  5, 6, 3, 4, 7, 7, 8, 8, 9, 8, 7



                     Worked Solution :

                        a. The  value  of  the  data  that  most  often  arises  is  the  value  of  6,  with  4

                            frequencies so that the mode of this data is 6, written Mod = 6.
                        b. The  are  two  of  the  most  frequent  data  values  appear  with  the  greatest

                            frequency,  the  value  of  7  and  a  value  of  8,  both  have  frequency  3.

                            Bimodal of this data is 7 and 8.



                           Other measures of central location, but is more often used as a measure of
                     the  spread  are  first  quartile,  third  quartile  3,  minimum  value  and  maximum

                     value. Quartiles together with the minimum value and maximum value is often

                     termed a series five statistical or called robust statistical. Is robust because in

                     addition to the measures of central located, as well as the size of the spread.





                                 ~~* CHAPTER  2    NUMERICAL MEASURES TO SUMMARIZE DATA *~~
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