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DMQ 30262



                        2.5    SCATTER DIAGRAM



                               The scatter diagram or scatter plot is used to examine the relationships

                               between variables. These relationships are sometimes used to identify
                               indicator variables in organizations. For example, in a hospital, the

                               postoperative infection rate has been found to be associated with many
                               different factors such as the sterile procedure used by the doctors and nurses,
                               cleanliness of the operation rooms, and sterile procedures in handling the

                               utensils used in surgery. Therefore, the postoperative infection rate is an
                               important variable in the hospital quality measurement.



                               It is quite easy to develop scatter plots using the charting facilities in
                               spreadsheet packages such as Excel. Figure 2.8 shows a scatter plot of the
                               relationship between conformance data, and prevention and appraisal quality-

                               related costs in a real firm. Note that the Figure 2.8 shows an unexpected
                               outcome of higher quality costs with higher level of conformance. Later

                               analysis showed that this firm was trying to “inspect in” quality, meaning that it
                               was throwing a lot of in-process work away as a result of more rigorous
                               inspection.



                               Use the following steps in setting up a scatter plot:



                               1. Determine your x (independent) and y (dependent) variables.
                               2. Gather process data relating to the variables identified in step 1.

                               3. Plot the data on a two-dimensional Cartesian plane.
                               4. Observe the plotted data to see whether there is a relationship between
                                   the variables. (Note that it is helpful to plot the data in Excel or another

                                   spreadsheet and to perform a correlation test to determine whether the
                                   variables are significantly related.)





















                 KKTM Kuantan                              21                                    DMQ 30262
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