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By Eugene Lukacs

This quantity reports attribute functions--which play a necessary position in chance and statistics-- for his or her intrinsic, mathematical curiosity.

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Example text

Consider a set of points distributed as shown in Fig. 5. It is easy to imagine a partitioning of this space for which a chi-square test would provide evidence of randomness. If one divides the area into 16 equal squares as shown in Fig. 75, so one cannot reject the hypothesis of a chance distribution. But in inspecting the original distribution, one may notice that there appear to be more points in the upper right and lower left quadrants than in the upper left and lower right. If one divides the total area into four equal-size squares, as in Fig.

When data suggesting structure are obtained from observation and they are not subject to experimental corroboration, as in the case of the distribution of stars, perhaps the best that can be done is to consider the aggregate weight of all the data that can be brought to bear on the question of interest. THE PRODUCTION AND PERCEPTION OF RANDOMNESS Charles Dickens is said to have refused, late one December, to travel by train because the annual quota of railroad accidents in Britain had not yet been filled that year.

Davis and Hersh (1981) point out that there are a good dozen different definitions of a random sequence—but it is not easy to find a definition with which experts agree. There are, however, certain concepts that one encounters often in discussions of randomness and that characterize properties that a random set or sequence is expected, at least by some observers, to have. Among the more common of these properties are equal representation, irregularity or unpredictability, and incompressibility.

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