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Unit 4: Research Problem




                            s  2  = 0.3875                                                        Notes
                             v
                            s  = 0.6225
                             v
                            s  = 200 s
                             B       v
                               = 200 × 0.6225 = 124.5

                                  s B
                C.V for Sample B =   100
                                  x B
                     124.5
                           100  = 11.77%
                     1058
            Since C.V. for sample B is smaller, sample B lamps are more uniform.

            4.5.3  Analysis and Interpretation

            Interpretation means bring out the meaning of data or we can say that interpretation is to
            convert data into information. The essence of any research is to draw conclusion about the study.
            This requires high degree of skill. There are two methods of drawing conclusions (1) induction
            (2) deduction.
            In induction method, one starts from observed data and then generalization is done, which
            explains the relationship between objects observed.

            On the other hand, deductive reasoning starts from some general law and then applied to a
            particular instance i.e., deduction comes from general to a particular situation.
            Example of induction:  All products manufactured by Sony are excellent. DVD player model
            2602MX is made by Sony. Therefore it must be excellent.
            Example of deduction: All products have to reach decline stage one day and become obsolete.
            This Radio is in decline mode. Therefore it will become obsolescent.
            During inductive phase, we reason from observation. During deductive phase, we reason towards
            observation. Both logic and observation are essential for interpretation.

            Successful interpretation depends on ‘How Well the data is analyzed’. If data is not properly
            analyzed, the interpretation may go wrong. If analysis has to be corrected, then data collection
            must be proper. Similarly if data collected is proper but analyzed wrongly, then also the
            interpretation or conclusion will be wrong. Sometimes even with proper data and proper analysis,
            can still lead to wrong interpretation. Interpretation depends on. Experience of the researcher
            and methods used by him for interpretation.


                   Example: A detergent manufacturer is trying to decide, which of the three sale promotion
            methods (Discount, contest, buy one get one free) would be most effective in increasing the
            sales. Each sales promotion method is run at different times in different cities. The sales got by
            the different sale promotion is a follows.

                             Sales Impact of Different Sale Promotion Methods

                       Sales Promotion Method         Sales Associated with Sales Promotion
                                1                                 2000
                                2                                 3500
                                3                                 2510




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