Provides examples of the use of computer simulation to help beginners develop a grasp for difficult statistical concepts. The implementation of this teaching methodology is discussed and analysis of simulation output through use of standard statistical software packages is illustrated. (Author/MBR)

Described are analytical applications of the theory of random processes, in particular solutions obtained by using statistical procedures known as Monte Carlo techniques. Supercomputer simulations, sampling, integration, ensemble, annealing, and explicit simulation are discussed. (CW)

Demonstrated is the use of BASIC computer programs to simulate a binomial experiment and test a simple statistical hypothesis. The theoretical results are reached with the third programing attempt. All results, as well as computer programs, are included. (JJK)

This paper describes an undergraduate-level course designed to teach the applications of computers that are most relevant in the social sciences, especially psychology. After an introduction to the basic concepts and terminology of computing, separate units were devoted to word processing, data analysis, data acquisition, artificial intelligence,…

The results of a simulation model of a queuing system are reported. Use in an introductory quantitative analysis course to enhance students' computer and quantitative modeling knowledge is described. (CW)

Presents a review of microcomputer-based software packages that have been designed for Operations Research, Management Science, and Production and Operations Management. Listed for each package are price for student use, minimum system requirements needed to run the package, and maximum capability constraints. (PK)