Page 247 - Applied statistics and probability for engineers
P. 247

Section 6-6/Scatter Diagrams     225


                                     o
                       Year  Anomaly,  C  CO2, ppmv   Year   Anomaly,  C  CO2, ppmv   Year   Anomaly,  C  CO2, ppmv
                                                                     o
                                                                                                     o
                       1911     −0.25       300.1     1953       0.12       311.9     1995      0.47        360.9
                       1912     −0.33       300.4     1954      −0.09       312.4     1996      0.36        362.6
                       1913     −0.28       300.8     1955      −0.09       313.0     1997      0.40        363.8
                       1914     −0.02       301.1     1956      −0.18       313.6     1998      0.71        366.6
                       1915      0.06       301.4     1957       0.08       314.2     1999      0.43        368.3
                       1916     −0.20       301.7     1958       0.10       314.9     2000      0.41        369.5
                       1917     −0.46       302.1     1959       0.05       315.8     2001      0.56        371.0
                       1918     −0.33       302.4     1960      −0.02       316.6     2002      0.70        373.1
                       1919     −0.09       302.7     1961       0.10       317.3     2003      0.66        375.6
                       1920     −0.15       303.0     1962       0.05       318.1     2004      0.60        377.4
                       1921     −0.04       303.4     1963       0.03       318.7
                     (source: http://data.giss.nasa.gov/gistemp/)


                                             5"#-& t 6.5 Quality Data for Young Red Wines
                                            Quality       pH         Total SO2    Color Density     Color
                                             19.2         3.85           66           9.35           5.65
                                             18.3        3.75            79          11.15           6.95
                                             17.1        3.88            73           9.40           5.75
                                             15.2        3.66            86           6.40           4.00
                                             14.0        3.47           178           3.60           2.25
                                             13.8        3.75           108           5.80           3.20
                                             12.8        3.92            96           5.00           2.70
                                             17.3        3.97            59          10.25           6.10
                                             16.3        3.76            22           8.20           5.00
                                             16.0        3.98            58          10.15           6.00
                                             15.7        3.75           120           8.80           5.50
                                             15.3        3.77           144           5.60           3.35
                                             14.3        3.76           100           5.55           3.25
                                             14.0        3.76           104           8.70           5.10
                                             13.8        3.90            67           7.41           4.40
                                             12.5        3.80            89           5.35           3.15
                                             11.5        3.65           192           6.35           3.90
                                             14.2        3.60           301           4.25           2.40
                                             17.3        3.86            99          12.85           7.70
                                             15.8        3.93            66           4.90           2.75


                     6-6      Scatter Diagrams


                                         In many problems, engineers and scientists work with data that is multivariate in nature; that
                                         is, each observation consists of measurements of several variables. We saw an example of this
                                         in the wire bond pull strength data in Table 1.2. Each observation consisted of data on the
                                         pull strength of a particular wire bond, the wire length, and the die height. Such data are very
                                         commonly encountered. Table 6.5 contains a second example of multivariate data taken from
                                         an article on the quality of different young red wines in the Journal of the Science of Food
   242   243   244   245   246   247   248   249   250   251   252