Page 21 - Statistics and Data Analysis in Geology
P. 21

Statistics and Data Analysis in  Geology - Chapter  1

             fossil as a brachiopod and another as a crinoid implies nothing about the relative
             importance or magnitude of  the two.
                  The number of  observations occurring in each state of  a nominal system can
             be counted, and certain nonparametric tests can be performed on nominal data. A
              classic example we will consider at length is the occurrence of  heads or tails in a
              coin-flipping experiment.  Heads and tails constitute two categories of  a nominal
              scale, and our data will consist of  the number of  observations that fall into them.
             A geologic equivalent of  this problem consists of  the appearance of  feldspar and
              quartz grains along a traverse across a thin  section.  Quartz and feldspar  form
              mutually exclusive categories that cannot be meaningfully ranked in any way.
                  Sometimes observations can be ranked in a hierarchy of states. Mohs' hardness
              scale is a classic example of  a ranked or ordinal scale. Although the minerals on
              the scale, which extends from one to ten, increase in hardness with higher rank,
              the steps between successive states are not equal. The difference in absolute hard-
              ness between diamond (rank ten) and corundum (rank nine) is greater  than the
              entire range of  hardness from one to nine.  Similarly, metamorphic rocks may be
              ranked along a scale of  metamorphic grade, which reflects the intensity of  alter-
              ation. However, the steps between grades do not represent a uniform progression
              of  temperature and pressure.
                  As with the nominal scale, a quantitative analysis of ordinal measurements is
              restricted primarily to counting observations in the various states. However, we can
              also consider the manner in which different ordinal classes succeed one another.
              This is done, for example, by determining if  states tend to be followed an unusual
              number of times by greater or lesser states on the ordinal scale.
                  The interval scale is so named because the length of  successive intervals is a
              constant. The most commonly cited example of an interval scale is that of tempera-
              ture. The increase in temperature between 10" and 20" C is exactly the same as the
              increase between 110" and 120" C. However, an interval scale has no natural zero,
              or point where the magnitude is nonexistent. Thus, we can have negative temper-
              atures that are less than zero. The starting point for the Celsius (centigrade) scale
              was arbitrarily set  at a point coinciding with the freezing point of  water, whereas
              the starting point on the Fahrenheit scale was chosen as the lowest temperature
              reached by an equal mixture of  snow and salt. To convert from one interval scale
              to another, we must perform two operations: a multiplication to change the scale,
              and an addition or subtraction to shift the arbitrary origin.
                  Ratio scales have not only equal increments between steps, but also a true zero
              point. Measurements of length are of this type. A 2-in. long shell is twice the length
              of  a 1-in. shell.  A shell with zero length does not exist, because it has no length
              at all.  It is generally agreed that "negative lengths" are not possible.  To convert
              from one ratio scale to another, such as from inches to centimeters, we must only
              perform the single operation of multiplication.
                  Ratio scales are the highest form of  measurement.  All types of  mathematical
              and statistical operations may be performed with them.  Although interval scales
              in theory convey less information than ratio scales, for most purposes the two can
              be used in the same manner.  Almost all geological data consist of  continuously
              distributed measurements made on ratio or interval scales, because these include
              the basic physical properties of  length, volume, mass, and the like. In subsequent
              chapters, we will not distinguish between the two measurement  scales, and they

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