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Unit 8: Measurement of Central Tendency




          Interpretation of Median                                                                 Notes

          The median represents the central point of data where frequencies are halved. In the above
          example there are fifty percent of cases namely 17, having scores above 15,  i.e., the median.
          Educational Situations and Use of Median

          Median is used in the following situations :
          •    when incomplete distribution is given.
          •    when the point dividing the distribution into two equal parts is needed.

          •    when a distribution is markedly skewed. That is, one or more very extreme cases are
               there to one side of the distribution. Say, in a group of 20 students 18 of them are scoring
               very low marks say 15 to 40 out of 100 and two students score 95 and 100. Such distributions
               are known as skewed.

          •    when interest is limited to finding the placement of cases in the lower half or upper half
               of the distribution and not in finding how far they are from the central point.

          Limitations of Median
          Median is not dependent on all the observations and ignores their numerical values. It cannot
          be used as the centre of gravity of the distribution. Also, it cannot be used for inferential
          statistical analyses.

          8.4    Data on Equal Interval Scale and Measure of Central Tendency —
                 The Mean


          Mean is calculated when the data are complete and presented on equal interval scale. It is
          most popularly known as the ‘Arithmetic Mean’. Mean provides an accurate description of the
          sample and indirectly, that of the population. It is the sum of measurements divided by their
          number.

                                       Mean =  “X/N
          Where, “X = Sum  of all values, N = Number of cases




             Did u know?    Mean of a distribution of scores may be defined as the point on the scale
                        of measurement obtained by dividing the sum of all the scores by the
                        number of scores.

          Calculating Mean for Ungrouped Data
          When raw data are given the Mean is computed by adding all these values and dividing by
          the total number.
               Example

          Compute Mean for the scores given below :
                 25, 36, 18, 29, 30, 41, 49, 26, 16, 27
                 Mean ZX = 25 + 36 + 18 + 29 + 30 + 41 + 49 + 26 + 16 + 27

                           = 297/10 = 29.7




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