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Peer reviewedBurrell, Quentin L.; Fenton, Michael R. – Journal of the American Society for Information Science, 1994
Proposes and explains a modification of the mixed Poisson model for library circulations which takes into account the periods when a book is out on loan and therefore unavailable for borrowing. Highlights include frequency of circulation distributions; negative binomial distribution; and examples of the model at two universities. (Contains 34…
Descriptors: Academic Libraries, Higher Education, Library Circulation, Library Statistics
Peer reviewedSchilling, Mark F. – College Mathematics Journal, 1990
Developed are simple recursion formulas for generating the exact distribution of the longest run of heads, both for a fair coin and for a biased coin. Discusses the applications of runs-related phenomena such as molecular biology, Markov chains, geometric variables, and random variables. (YP)
Descriptors: College Mathematics, Computer Simulation, Higher Education, Mathematical Applications
Peer reviewedFleet, Tony – Mathematics in School, 1989
Considers definitions of quantiles. Describes median and quartiles. Compares the usefulness of 3 different definitions of quartile using a computer program to simulate 500 quantiles on a sample of a fixed size. Five references are listed. (YP)
Descriptors: College Mathematics, Computer Simulation, Computer Software, Definitions
Peer reviewedDanesh, Iraj – Journal of Computers in Mathematics and Science Teaching, 1991
An educational technique to calculate the lifetime of a comet using software-generated random numbers is introduced to undergraduate physiques and astronomy students. Discussed are the generation and eligibility of the required random numbers, background literature related to the problem, and the solution to the problem using random numbers.…
Descriptors: Astronomy, Computer Assisted Instruction, Computer Uses in Education, Curriculum Enrichment
Peer reviewedGarrison, Dean H. – College and University, 1981
A statistical model is presented for processing quantitative admission data that weights equally two or more quantitative elements to ensure that the N most consistently high scorers qualify for the N available positions. The quantitative elements considered are overall grade point average (GPA), GPA in selected courses, and standardized test…
Descriptors: Admission Criteria, College Admission, Competitive Selection, Decision Making


