Page 23 - Applied statistics and probability for engineers
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                                                    The Role of Statistics in



                                                    Engineering













                                                                    Statistics is a science that helps us make decisions and draw
                     Chapter Outline                                conclusions in the presence of variability. For example, civil
                                                                    engineers working in the transportation i eld are concerned
                     1-1   The Engineering Method and Statistical   about the capacity of regional highway systems. A typical
                         Thinking                                   problem related to transportation would involve data regarding
                                                                    this speciic system’s number of nonwork, home-based trips,

                     1-2  Collecting Engineering Data               the number of persons per household, and the number of vehi-
                           1-2.1 Basic Principles                   cles per household. The objective would be to produce a trip-
                           1-2.2 Retrospective Study                generation model relating trips to the number of persons per
                           1-2.3 Observational Study                household and the number of vehicles per household. A statis-
                           1-2.4 Designed Experiments               tical technique called regression analysis can be used to con-
                           1-2.5  Observing Processes Over Time     struct this model. The trip-generation model is an important

                     1-3  Mechanistic and Empirical Models          tool for transportation systems planning. Regression methods
                                                                    are among the most widely used statistical techniques in engi-
                     1-4  Probability and Probability Models        neering. They are presented in Chapters 11 and 12.
                                                                      The hospital emergency department (ED) is an important
                                                                    part of the healthcare delivery system. The process by which
                                                                    patients arrive at the ED is highly variable and can depend on
                                                                    the hour of the day and the day of the week, as well as on
                                                                    longer-term cyclical variations. The service process is also
                                                                    highly variable, depending on the types of services that the
                                                                    patients require, the number of patients in the ED, and how the
                                                                    ED is staffed and organized. An ED’s capacity is also limited;
                                                                    consequently, some patients experience long waiting times.
                                                                    How long do patients wait, on average? This is an important
                                                                    question for healthcare providers. If waiting times become
                                                                    excessive, some patients will leave without receiving treatment
                                                                    LWOT. Patients who LWOT are a serious problem, because
                                                                    they do not have their medical concerns addressed and are at
                                                                    risk for further problems and complications. Therefore, another
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