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                                                    Descriptive Statistics


















                                                                    Statistics is the science of data. An important aspect of deal-
                     Chapter Outline                                ing with data is organizing and summarizing the data in ways
                                                                    that facilitate its interpretation and subsequent analysis. This
                     6-1  Numerical Summaries of Data               aspect of statistics is called descriptive statistics, and is the
                                                                    subject of this chapter. For example, in Chapter 1 we pre-
                     6-2 Stem-and-Leaf Diagrams                     sented eight prototype units made on the pull-off force of

                     6-3   Frequency Distributions and              prototype automobile engine connectors. The observations
                         Histograms                                 (in pounds) were 12.6, 12.9, 13.4, 12.3, 13.6, 13.5, 12.6, and
                                                                    13.1. There is obvious variability in the pull-off force values.
                     6-4 Box Plots                                  How should we summarize the information in these data?
                                                                    This is the general question that we consider. Data summary
                     6-5  Time Sequence Plots                       methods should highlight the important features of the data,
                                                                    such as the middle or central tendency and the variability,
                     6-6 Scatter Diagrams                           because these characteristics are most often important for

                     6-7 Probability Plots                          engineering decision making. We will see that there are both
                                                                    numerical methods for summarizing data and a number of
                                                                    powerful graphical techniques. The graphical techniques are
                                                                    particularly important. Any good statistical analysis of data
                                                                    should always begin with plotting the data.

















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