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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

Hodgson, Ted; Borkowski, John – Teaching Statistics, 1998
Offers an instructional approach and an exercise that can serve as a useful introduction to stratified random sampling. (ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Sampling, Secondary Education

Galfo, Armand J. – School Science and Mathematics, 1985
Discusses a strategy for teaching degrees of freedom (in conjunction with sampling theory). The strategy, used successfully with students who have completed no more than beginning secondary school algebra, involves drawing items from a pool of five in a hat while explaining sample means and variances. (DH)
Descriptors: Mathematical Concepts, Mathematics Education, Mathematics Instruction, Sampling

Gordon, Florence – Mathematics and Computer Education, 1987
Sophisticated simulations using computer graphics can lead to students deducing virtually all conditions of the Central Limit Theorem. Eight graphs illustrate the discussion. (MNS)
Descriptors: College Mathematics, Computer Graphics, Computer Simulation, Graphs
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

Perry, Mike; Kader, Gary – Mathematics Teacher, 1998
Presents an activity on the simplification of penguin counting by employing the basic ideas and principles of sampling to teach students to understand and recognize its role in statistical claims. Emphasizes estimation, data analysis and interpretation, and central limit theorem. Includes a list of items for classroom discussion. (ASK)
Descriptors: Data Collection, Estimation (Mathematics), Mathematics Activities, Mathematics Instruction
Well, Arnold D.; And Others – 1984
There is a growing body of evidence indicating that people often overestimate the similarity between characteristics of random samples and those of the populations from which they are drawn. This paper: reviews studies that have attempted to determine whether the basic heuristic employed in thinking about random samples is passive and descriptive…
Descriptors: Cognitive Processes, College Mathematics, Comprehension, Heuristics

Cox, Caryl; Mouw, John T. – Educational Studies in Mathematics, 1992
The explicit, experimental introduction of a series of logical inconsistencies is described and recommended as a means of disrupting the faulty logic and, thereby, enhancing the use of more appropriate probabilistic reasoning by graduate students enrolled in an introductory inferential statistics course. (14 references) (JJK)
Descriptors: Heuristics, Higher Education, Logical Thinking, Mathematics Education

Vissa, Jeanne – Arithmetic Teacher, 1987
An activity for grades seven and eight using goldfish crackers is described. Students set up ratios and proportions to describe relationships between the sample and the total. (MNS)
Descriptors: Elementary School Mathematics, Elementary Secondary Education, Learning Activities, Mathematics Instruction

Webb, Leland F.; McKay, Jamie D. – Arithmetic Teacher, 1978
An "inference can" is described, with two games that allow students to observe and predict events, define population, and draw samples. (MP)
Descriptors: Educational Games, Elementary School Mathematics, Elementary Secondary Education, Instructional Materials
Moore, Michael – 1985
With the help of widely available microcomputers, it is possible to demonstrate certain statistical phenomena which students of statistics are usually expected to take on faith. Two demonstrations are described. In the first demonstration, three common types of sampling (simple random, biased, and stratified-random) are used to compare statistics…
Descriptors: College Mathematics, Computer Simulation, Computer Software, Error of Measurement

Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic

Geiger, Vince; Wallace, Robyn – Australian Mathematics Teacher, 1987
Presents teaching activities that are intended to be used to teach statistics to students in a high school mathematics program. Includes a worksheet of eight discussion questions on statistics, four activities on sampling bias, two experiments on sampling techniques, and a game known as "capture-recapture." (TW)
Descriptors: Mathematical Concepts, Mathematics Curriculum, Mathematics Education, Mathematics Instruction
San Francisco State Univ., CA. – 1981
This document is the fourth of seven units developed by the Math Network Curriculum Project. Each unit, designed to be a 2-week module, is a teacher's guide which includes detailed directions along with the courseware and software needed. Teacher intervention in the non-computer activities that begin each unit is required, and the consistent use…
Descriptors: Computer Oriented Programs, Elementary Secondary Education, Learning Activities, Mathematical Concepts
Hafner, Arthur W. – 1998
A thorough understanding of the uses and applications of statistical techniques is integral in gaining support for library funding or new initiatives. This resource is designed to help practitioners develop and manipulate descriptive statistical information in evaluating library services, tracking and controlling limited resources, and analyzing…
Descriptors: Correlation, Data Interpretation, Libraries, Library Education