Discusses some of the myths surrounding grading on the curve. Provides a simple explanation of such statistical terms as histograms, relative frequency, normal distribution, mean, and standard deviation. Describes how to restructure the curve, including the program listing for a computer program that will assist the teacher. (TW)

Reviewed are two computer software packages: "Algebra Concepts: Volume One," and "Data Insights." Each package is described and the strengths and weaknesses are highlighted. Costs and system requirements are listed. (CW)

Reviews essays on statistical analysis of literature from the journal "Computers and the Humanities." Divides the essays into four groups: the philosophical, statistical analyses of language, literary texts, and themes. Questions whether valid statistical analysis of any text must be based on complete linguistic description. Emphasizes…

The use of computer spreadsheet programs in the physics laboratory is discussed. An example of this application with a conservation of energy laboratory is presented including the cases of a rolling sphere and a sliding sphere. (CW)

Described is a software package, "Trapeze," within which a routine called LinDis can be used. Discussed are teaching methods, the linear discriminant model and equations, the LinDis worksheet, and an example. The set up for this routine is included. (CW)

This executive summary of the 1986 Survey of Microcomputers in Higher Education presents the highlights of each of the major areas covered by the survey: (1) general policy; (2) microcomputer availability; (3) microcomputer access; (4) microcomputer acquisition; (5) software availability; and (6) software support. The 211 survey respondents were…

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)

Special problems in assessing how college students use technology and the products they create with it are discussed using the examples of listserv discussions (student participation, quality and coherence of discussion, selection of postings) and a computer-based data analysis in a graduate statistics course. Rubrics for evaluating each are…

Contends that the proliferation of historical data has made knowledge of quantitative techniques and computers essential for the historian. Evaluates various database, statistical, and graphing packages available to scholars. Discusses implementing such technology in the teaching of history courses. (DB)

Described is software which allows a student to use simulation to produce analytical output as well as graphical results. The results include a frequency histogram of a selected population distribution, a frequency histogram of the distribution of the sample means, and test the normality distributions of the sample means. (KR)

Background information, data input, data analysis, and advantages of using this method with this software are discussed. A flowchart of the event-trapping program structure and a printout of the program are included. (CW)

Describes two QuickBASIC programs that provide students direct experience with interpreting correlation scatter-plots. Maintains that the programs can be used in classroom exercises to highlight factors that influence the size of a Pearson correlation coefficient. (CFR)

Describes a QuickBASIC program for demonstrating the differences between main effects and interactions in factorial designs. The program can be used in conjunction with a traditional lecture to improve student understanding and develop skills in recognizing main effects and interactions from graphic displays. (CFR)

Contends that courses designed to help students learn about the application of computers to historical study can be prepared and taught in a number of ways. Describes a college-level course that combines an introduction to computer applications with a student research project. (CFR)

Describes a course project in which students used computers to analyze census data to learn social history. Outlines the research project from the beginning when students drew samples from the census data to the final paper written by students. Argues that the analysis of historical data by computers has many potential applications. (DB)