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The Application of Probability Theory Analysis to Nonrandom Enumeration Data

Author

Listed:
  • W. L. Gibson
  • Robert F. Boxley
  • Bernard R. Hoffnar

Abstract

Probability theory analysis requires conditions and assumptions which must be rigidly observed if conclusions are to be meaningful. This paper, based on a study of farm sales in southeastern Virginia, investigates some problems associated with probability theory analysis applied to data that comprise all available observations in the study universe. In such cases, typical statistics do not have the same heuristic meanings they have in an experimental situation. The assumptions and limitations of the analysis should be explicitly defined to aid subsequent users of the results in deciding what inferences may be validly drawn from the study.

Suggested Citation

  • W. L. Gibson & Robert F. Boxley & Bernard R. Hoffnar, 1964. "The Application of Probability Theory Analysis to Nonrandom Enumeration Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(4), pages 835-840.
    • Handle: RePEc:oup:ajagec:v:46:y:1964:i:4:p:835-840.
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