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Unit 4: Research Problem



            Semi-inter quartile range (Quartile deviation) semi-inter quartile range Q.           Notes

                           Q –Q
            Q is given by Q =   3  1
                              2

            Note:
                 Q –Q
                   3    1
            1.   Q   Q   is called the coefficient of quartile deviation.
                   3    1
            2.   Quartile deviation is not a true measure of dispersion but only a distance of scale.
            Mean Deviation (MD): If A is any average then mean deviation about A is given by

                                   f | x – A|
                        MD(A) =     i  i
                                      N

            Note:
                                                 f | x –  x |
                                                   i
                                                     i
            1.   Mean deviation about mean MD     x
                                                    N
            2.   Of all the mean deviations taken about different averages mean derivation about the
                 median is the least.

                 MD(A)
            3.           is called the coefficient of mean deviation.
                    A
            Variance and Standard Deviation

                     2
            Variance (s ): A measure of the average squared distance between the mean and each term in the
            population.

                                  1          2
                            s 2  =   f  x (   x)
                                  N    i  i
            Standard deviation (s) is the positive square root of the variance

                                   1
                             s =      f (x – x) 2
                                         i
                                       i
                                   N
                                  1
                                         2
                            s 2  =   f (x   x ( ) 2
                                  N    i  i
            Note: Combined variance of two sets of data of N  and N  items with means x  and x  and
                                                      1     2                 1     2
            standard deviations s  and s  respectively is obtained by
                             1     2
                                           2
                                                 2
                                     2
                                  N s   N s   N d   N d 2 2
                                                 1
                                               1
                                     1
                                   1
                                                     1
                                           2
                                         2
                            s 2  =
                                         N   N
                                           1   2
                            2
                                          2
                                       2
            Where,         d   = (x – x ) , d   (x – x ) 2
                            1         1   2      2
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