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Thipwiwatpotjana, Phantipa – ProQuest LLC, 2010
Uncertainty occurs when there is more than one realization that can represent an information. This dissertation concerns merely discrete realizations of an uncertainty. Different interpretations of an uncertainty and their relationships are addressed when the uncertainty is not a probability of each realization. A well known model that can handle…
Descriptors: Intervals, Programming, Mathematical Applications, Probability
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Marasini, Donata; Quatto, Piero – Journal of Applied Quantitative Methods, 2011
Let X be a statistical variable representing student ratings of University teaching. It is natural to assume for X an ordinal scale consisting of k categories (in ascending order of satisfaction). At first glance, student ratings can be summarized by a location index (such as the mode or the median of X) associated with a convenient measure of…
Descriptors: Scientific Concepts, College Instruction, Student Evaluation of Teacher Performance, Data Interpretation
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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
Doig, Brian; Groves, Susie – 1999
A glance at any newspaper shows that graphs play an important part in presenting data to the public. It appears self-evident that children need to develop "graphical literacy" as part of their mathematics education. As part of a series of mathematically orientated science activities in the Practical Mechanics in Primary Mathematics project, 102…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Education, Elementary School Mathematics
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Leong, Che Kan; Jerred, Wendy D. – Annals of Dyslexia, 2001
A study involving 91 children (ages 3-5) divided into more able and less able sub-groups found mathematical word problems containing inconsistent information were more difficult than those with consistent information. Word problems containing inadequate and redundant information were more difficult to explain than those items with just enough…
Descriptors: Data Interpretation, Dyslexia, Elementary Education, Information Utilization
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Hinders, Duane C. – Mathematics Teacher, 1990
Discusses the use or misuse of statistics or probability in society. Presented are examples from opinion polling, sports, the 1970 draft lottery, and the law. Lists 18 references. (YP)
Descriptors: Data Interpretation, Mathematical Applications, Mathematical Concepts, Mathematical Logic
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Selkirk, Keith – Mathematics in School, 1991
An open-ended data-analysis activity, prompted by a Royal Mail advertisement, explores the claim that the real cost of first class postage has fallen below the inflation rate. The activity provides realistic exercises in both arithmetic and statistical indices, and in logical interpretation of, and deduction from, the data. (JJK)
Descriptors: Data Interpretation, Discovery Learning, Elementary Secondary Education, Evaluative Thinking
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Tappin, Linda – Mathematics Teacher, 1994
Presents an activity to analyze the data from the Challenger explosion to help students understand the critical role of statistics in decision making and the importance of considering all available data. (MKR)
Descriptors: Data Analysis, Data Interpretation, Decision Making, Exponents (Mathematics)
Jewell, Larry R. – 1985
This learning module provides students with practice in applying mathematical operations to vocational agriculture. The module consists of unit objectives, definitions, information, problems to solve, worksheets suitable for various levels of vocational agriculture instruction, and answer keys for the problems and worksheets. This module, which…
Descriptors: Agricultural Education, Computation, Data Interpretation, Definitions
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Hitch, Chris; Armstrong, Georganna – Arithmetic Teacher, 1994
Presents four sets of activities to develop the concepts of data analysis and graphing. Students estimate sample populations using beans, examine graphs from newspapers and magazines, predict the most popular color of cars, and simulate quality control in a manufacturing process. (MDH)
Descriptors: Concept Formation, Data Analysis, Data Collection, Data Interpretation
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Stevens, Jill – Mathematics Teacher, 1993
Presents activities in which students develop and analyze scatterplots on graphing calculators to model corn growth, decay, a box of maximum volume, and weather prediction. Provides reproducible worksheets. (MDH)
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Functions (Mathematics)
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Piston, Calvin – Mathematics Teacher, 1992
Proposes three types of supplementary problems to develop students' skill in interpretation of graphically represented data. Eleven examples are presented and solved for the following types of problems: comparison of one quantity to another, comparison of two quantities that each depend on a common parameter, and reasonable data prediction. (MDH)
Descriptors: Cognitive Development, Data Analysis, Data Interpretation, Enrichment Activities
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Shaw, Jean M. – Arithmetic Teacher, 1993
Focuses on connections between mathematics and environmental concerns. Activities were designed to make students aware of, and increase their knowledge of, the various materials people ordinarily use and discard and ways to use materials more conservatively. Each activity includes data gathering, graphing, and interpreting data. Activity sheets…
Descriptors: Arithmetic, Class Activities, Computation, Data Collection
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van Reeuwijk, Martin – Mathematics Teacher, 1992
Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…
Descriptors: Cooperative Learning, Data Analysis, Data Interpretation, Educational Change