Intended for classroom use only, these unpublished notes contain computer lessons on descriptive statistics with files previously created in WordPerfect 4.2 and Lotus 1-2-3 Version 1.A for the IBM PC+. The statistical measures covered include Student's t-test with two independent samples; Student's t-test with a paired sample; Chi-square analysis;…

This guide for using Minitab requires DOS version 2.0 or greater, 512K RAM memory, two double-sided diskette drives, and a graphics monitor. Topics covered in the tutorial are Getting started; Installation; Making a data diskette; Entering data; Central tendency and dispersion; t-test; Chi-square test; Oneway ANOVA test; Twoway ANOVA test; and…

The purpose of this tutorial is to provide the basic information needed for success with SPSS/PC+ Studentware, a student version of the statistical analysis software offered by SPSS, Inc., for the IBM PC+ and compatible computers. It is intended as a convenient summary of how to organize and conduct the most common computer-based statistical…

A computer project sponsored by a National Science Foundation grant was completed in the psychology department at Loyola University. The purpose of the project was to upgrade existing laboratory equipment in both the operant learning and sensation/perception laboratories, to provide equipment for a cognition laboratory, and to allow increased and…

This report includes a collection of workshop materials which address ways microcomputers can be used in evaluation and assessment and what basic information should be covered in introducing newcomers to the use of microcomputers. It is designed for use by experienced trainers with microcomputer experience but with few workshop support materials.…

This book, second in a series dealing with scientific programing in the BASIC language, provides students, engineers, and scientists with a documented library of subroutines for scientific applications. Subjects of the eight chapters include: (1) least-squares approximation of functions and smoothing of data; (2) approximating functions by series…