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Quantitative Techniques – I




                    Notes
                                                             3.28 3.00
                                                                         0.207
                                                                1.35
                                   Since   is positive and small, the distribution is moderately positively skewed.

                                          Example: Calculate Karl Pearson's coefficient of skewness from the following data :
                                           Weights (lbs.) No. of Students   Weights (lbs.) No. of Students
                                              90 -100         4               140 -150         23
                                             100 -110         10              150 -160         16
                                             110 -120        17               160 -170          5
                                             120 -130         22              170 -180          3
                                             130 -140         30
                                   Solution.

                                                              Calculation of  X ,   and M
                                                                                   o
                                                Class   Frequency Mid Points      X 135          2
                                                                              u            fu  fu
                                               Intervals   (f )       (X)           10
                                                90-100      4          95          4       16   64
                                               100-110     10         105          3       30   90
                                               110-120     17         115          2       34   68
                                               120-130     22         125           1      22   22
                                               130-140     30         135          0        0    0
                                               140-150     23         145           1      23   23
                                               150-160     16         155          2       32   64
                                               160-170      5         165          3       15   45
                                               170-180      3         175          4       12   48
                                                 Total     130                             20 424

                                                  fu            20
                                                                       .
                                   1.   X   A h       135 10        13346
                                                 N             130
                                                             2                  2
                                                    2
                                                  fu      fu         424    20
                                   2.      h                    10                 18.0
                                                 N       N           130   130

                                   3.   M  o  L  m  1    h
                                                  1   2
                                       By inspection, the modal class is 130 - 140.
                                             = 130,   = 30   22 = 8,   = 30   23 = 7 and   = 10
                                                   1            2
                                                       8
                                       Thus,    M  130    10 135.33
                                               o
                                                      15
                                                   X M     133.46 135.33
                                       Hence,  S k      o                  0.10 ,    the distribution is moderately
                                                               18.0
                                       negatively skewed.





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