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               212     CHAPTER 6 RANDOM SAMPLING AND DATA DESCRIPTION


               Table 6-5  United Kingdom Passenger Airline Miles Flown
                Month       1964        1965         1966        1967         1968        1969        1970
                 Jan.       7.269        8.350       8.186        8.334       8.639       9.491      10.840
                 Feb.       6.775        7.829       7.444        7.899       8.772       8.919      10.436
                 Mar.       7.819        8.829       8.484        9.994      10.894       11.607     13.589
                 Apr.       8.371        9.948       9.864       10.078      10.455       8.852      13.402
                 May        9.069       10.638      10.252       10.801      11.179       12.537     13.103
                 June      10.248       11.253      12.282       12.953      10.588       14.759     14.933
                 July      11.030       11.424      11.637       12.222      10.794       13.667     14.147
                 Aug.      10.882       11.391      11.577       12.246      12.770       13.731     14.057
                 Sept.     10.333       10.665      12.417       13.281      13.812       15.110     16.234
                 Oct.       9.109        9.396       9.637       10.366      10.857       12.185     12.389
                 Nov.       7.685        7.775       8.094        8.730       9.290       10.645     11.594
                 Dec.       7.682        7.933       9.280        9.614      10.925       12.161     12.772



               17.0      16.7      17.1       17.5      17.6     41      10     16       8      62      94
               16.6      17.4      17.4       18.1      17.5     21       8      7      13      98      96
               16.3      17.2      17.4       17.5      16.5     16       2      4      57     124      77
               16.1      17.4      17.5       17.4      17.8      6       0      2     122      96      59
               17.1      17.4      17.4       17.4      17.3      4       1      8     138      66      44
               16.9      17.0      17.6       17.1      17.3      7       5     17     103      64      47
               16.8      17.3      17.4       17.6      17.1     14      12     36      86      54      30
               17.4      17.2      17.3       17.7      17.4     34      14     50      63      39      16
               17.1      17.4      17.0       17.4      16.9     45      35     62      37      21       7
               17.0      16.8      17.8       17.8      17.3     43      46     67      24       7      37
                                                                 48      41     71      11       4      74
               6-61.  Construct and interpret either a digidot plot or a stem-  42  30  48  15  23
               and-leaf plot of these data. The 100 annual Wolfer sunspot  28  24  28   40      55
               numbers from 1770 to 1869 follow. (For an interesting analy-
               sis and interpretation of these numbers, see the book by   6-62.  In their book Forecasting and Time Series Analysis,
               Box, Jenkins, and Reinsel referenced in Exercise 6-60. Their  2nd edition (McGraw-Hill, 1990), D. C. Montgomery, L. A.
               analysis requires some advanced knowledge of statistics and  Johnson, and J. S. Gardiner analyze the data in Table 6-5,
               statistical model building.) (read down, then left to right)  which are the monthly total passenger airline miles flown in
               (a) Construct a time series plot of these data.  the United Kingdom, 1964–1970 (in millions of miles).
               (b) Construct and interpret either a digidot plot or a stem-and-  (a) Draw a time series plot of the data and comment on any
                  leaf plot of these data.
                                                                  features of the data that are apparent.
                                                               (b) Construct and interpret either a digidot plot or a stem-and-
                101      31     154     38      83      90        leaf plot of these data.
                 82       7     125     23     132      67
                 66      20     85      10     131      60
                 35      92     68      24     118      47


               6-7  PROBABILITY PLOTS


                                 How do we know if a particular probability distribution is a reasonable model for data?
                                 Sometimes, this is an important question because many of the statistical techniques
                                 presented in subsequent chapters are based on an assumption that the population distribution
                                 is of a specific type. Thus, we can think of determining whether data come from a specific
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