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Lappan, Glenda; Winter, M. J. – Creative Computing, 1985
Presents four probability problems, their simulations, and analyses. The first illustrates a discrete situation for which it is possible to list the sample space. The second and third are continuous--the number of possible outcomes is infinite. The last is discrete with a surprising continuous extension question which leads to l/e. (JN)
Descriptors: College Mathematics, Computer Simulation, Computer Software, High Schools
Peer reviewed Peer reviewed
Hammonds, S. J. – Journal of Biological Education, 1990
A technique for the numerical identification of bacteria using normalized likelihoods calculated from a probabilistic database is described, and the principles of the technique are explained. The listing of the computer program is included. Specimen results from the program, and examples of how they should be interpreted, are given. (KR)
Descriptors: Bacteria, Biology, Classification, College Science
Peer reviewed Peer reviewed
Easterday, Kenneth; Smith, Tommy – School Science and Mathematics, 1992
Proposes an alternative means of approximating the value of complex integrals, the Monte Carlo procedure. Incorporating a discrete approach and probability, an approximation is obtained from the ratio of computer-generated points falling under the curve to the number of points generated in a predetermined rectangle. (MDH)
Descriptors: Calculus, Computer Assisted Instruction, Computer Uses in Education, Enrichment Activities