Page 24 - Statistics and Data Analysis in Geology
P. 24

Chapter 2





























              Geologists’ direct  observations of  our world are confined to the outer part
              of  the Earth’s crust, yet they must attempt to understand the nature of  the Earth’s
              core and mantle and the deeper parts of the crust. Furthermore, the processes that
              modify the Earth, such as mountain building and continental evolution, are gener-
              ally beyond the geologists’ capabilities for direct manipulation.  No other scientists,
              with the exception of astronomers, are more removed from the bulk of  their study
              material and less able to experiment on their subject.
                  Geology, to a major extent, remains a science that is principally concerned with
              observation.  Because geologists depend heavily on observations, particularly  ob-
              servations in which there is a large portion of uncertainty, statistics should play
              an important role in their research.  Although the term “statistics” once referred
              simply to the collection of  numerical facts such as baseball scores, it has come to
              include the analysis of  data, and especially the uncertainty associated with such
              data. Statistical problems, whether perceived or not, occur wherever there are ele-
              ments of chance. Geologists need to be conscious of  these problems, and of  some
              of  the statistical tools that are available to help solve the problems.


              Pro ba bi I ity

              Although many descriptions and definitions of  statistics have been written, it per-
              haps may be best considered as the determination of  the probable from the pos-
              sible.  In any circumstance, there are a variety (sometimes an infinity) of  possible
              outcomes. All these have an associated probability that describes their frequency
              of  occurrence. From an analysis of probabilities associated with events, future be-
              havior or past states of  the object or event under study may be estimated.
                  All of us have an intuitive concept of probability. For example, if asked to guess
              whether it will rain tomorrow, most of us would reply with some confidence that
              rain is likely or unlikely, or perhaps in rare circumstances, that it is certain to rain,
              or certain not to rain.  An alternative way of  expressing our estimate would be to
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