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Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
Lund, Richard E. – Science Software Quarterly, 1984
Reviews a small, easy-to-use statistical package which offers a moderate but useful repertoire of procedures for IBM-PC microcomputers (such as record/group selection, one-/two-/multi-way frequence tables, descriptive statistics, and simple ANOVAs). User's manual, program operation, data files, and program accuracy/anomalies are considered. The…
Descriptors: Computer Software, Higher Education, Statistical Analysis, Statistics
Mauriello, David – Science Software Quarterly, 1984
Reviews an interactive statistical analysis package (designed to run on 8- and 16-bit machines that utilize CP/M 80 and MS-DOS operating systems), considering its features and uses, documentation, operation, and performance. The package consists of 40 general purpose statistical procedures derived from the classic textbook "Statistical…
Descriptors: Computer Software, Higher Education, Research Methodology, Statistical Analysis
Peer reviewedFalk, Ruma; Tadmor-Troyanski, Maayan – Teaching Statistics, 1999
Describes a game of chance in which players can maximize their expected gain by making appropriate decisions. Explains that developing an optimal strategy involves computing probabilities and conditional expected values. (Author/ASK)
Descriptors: Educational Games, Mathematics Instruction, Secondary Education, Statistical Analysis
Peer reviewedRobison-Cox, James F. – Teaching Statistics, 1999
The concept of confidence intervals is difficult for students to grasp. Describes an activity that helps students understand what it means to have confidence in a process. (Author/ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Statistical Analysis
Peer revieweddu Feu, Chris – Teaching Statistics, 1999
Describes a practical classroom activity for sorting lists of numbers to lead to statistical analysis. (Author/ASK)
Descriptors: Correlation, Mathematics Activities, Mathematics Instruction, Secondary Education
Wirsbinski, William – 1989
This high technology quality assurance and statistics training module is a part of the statistics unit for an algebra I or algebra II course. This module fits into high school math classes in which students compute and display measures of central tendency and variability. The module contains a description, objectives, and content outline--phase I…
Descriptors: Algebra, High Schools, Learning Modules, Quality Control
Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which includes an introduction to factorial experimental design, and the analysis of the main effects and interactions of two- and three-factor experiments. Indicates that it is a clearly thorough package putting over a limited idea in a very lucid manner. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Factor Analysis, Higher Education
Peer reviewedYeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
Presented is an example meant to enable students with a scant mathematical education to grasp the meaning of the limit of the binomial distribution. (Author/TG)
Descriptors: Higher Education, Mathematical Concepts, Mathematical Models, Mathematics Education
Peer reviewedRevak, Marie A.; Williams, Jihan G. – Mathematics Teacher, 1999
Presents an experiment to test the statistical hypothesis that Oreo Double Stuf cookies contain twice as much filling as traditional Oreo cookies. (ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Secondary School Mathematics
Peer reviewedDoornbos, R.; Dijkstra, J. B. – European Journal of Engineering Education, 1985
Discusses the use of computers in teaching these courses at the Eindhoven University of Technology: (1) regression analysis; (2) generalized linear models; and (3) multivariate statistical methods. Students also use the computer for their final studies for validating statistical tests. (JN)
Descriptors: College Mathematics, Engineering Education, Higher Education, Mathematics Education
Landauer, Edwin G. – Computing Teacher, 1984
Describes a student project which illustrates interrelationships among the topics of random sampling, relative frequency concept of probability, design of experiments, and computer generation of data and which involves determining the configurations of numbers and letters on license plates through a microcomputer program. The computer program is…
Descriptors: Assignments, Computer Programs, Microcomputers, Secondary Education
Lwanga, S. K., Ed.; Tye, Cho-Yook, Ed.; Ayeni, O., Ed. – 1999
This book provides a selection of 23 lesson and seminar outlines designed to encourage the teaching of health statistics. It concentrates on a core of statistical knowledge judged important for all categories of health trainees, including medical students. Emphasis is placed on statistical principles and methods that can help health personnel make…
Descriptors: Administrators, Health, Health Personnel, Lesson Plans
Cook, Tony; Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which introduces survey and sampling techniques by pretending that the user is a pollster asking one of six questions of a more or less political nature. Documentation and performance are rated fair while ease of use is considered excellent. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Higher Education, Research Methodology
Robinson, Glen E.; Estep, Lawrence E. – Principal, 1984
Salary, salary increase, and fringe benefit statistics for elementary school principals are compared with other school system positions, geographic regions, enrollment groups, and per-pupil expenditure groups. (DCS)
Descriptors: Comparative Analysis, Elementary Education, Fringe Benefits, Geographic Regions

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