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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 13 results
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Falk, Ruma – Teaching Statistics: An International Journal for Teachers, 2014
The article presents an attempt to analyse Monty's dilemma by means of conversational formula-free dialogues and to simulate the problem by composing isomorphic stories. The crucial roles of specifying the underlying scenarios and explicating epistemic and probabilistic assumptions are highlighted.
Descriptors: Probability, Mathematics Instruction, Simulation, Story Telling
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Braun, W. John; White, Bethany J. G.; Craig, Gavin – Teaching Statistics: An International Journal for Teachers, 2014
Real-world phenomena simulation models, which can be used to engage middle-school students with probability, are described. Links to R instructional material and easy-to-use code are provided to facilitate implementation in the classroom.
Descriptors: Mathematics Instruction, Teaching Methods, Statistics, Simulation
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Gerke, Oke – Teaching Statistics: An International Journal for Teachers, 2013
Trading cards for various sports and a range of other subjects such as architecture, animals, hobbies, and war have been in existence since the late nineteenth century and still enjoy great popularity. Two of the most prominent examples are baseball cards in the U.S. and football cards in Europe. Three strategies for collecting European football…
Descriptors: Statistics, Computation, Simulation, Costs
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Sanqui, Jose Almer T.; Arnholt, Alan T. – Teaching Statistics: An International Journal for Teachers, 2011
This article describes a simulation activity that can be used to help students see that the estimator "S" is a biased estimator of [sigma]. The activity can be implemented using either a statistical package such as R, Minitab, or a Web applet. In the activity, the students investigate and compare the bias of "S" when sampling from different…
Descriptors: Advanced Students, Regression (Statistics), Sampling, College Mathematics
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Kozak, Marcin – Teaching Statistics: An International Journal for Teachers, 2009
This article suggests how to explain a problem of small sample size when considering correlation between two Normal variables. Two techniques are shown: one based on graphs and the other on simulation. (Contains 3 figures and 1 table.)
Descriptors: Sample Size, Correlation, Predictor Variables, Simulation
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Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
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Bush, Stephen; Menzies, Gordon; Thorp, Susan – Teaching Statistics: An International Journal for Teachers, 2009
The Internet offers a huge array of teaching resources for statistics. Here we present a selection of engaging Web-based tools, ranging from class surveys to individual simulation experiments.
Descriptors: Online Courses, Internet, Web Based Instruction, Experiments
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Zullo, Holly – Teaching Statistics: An International Journal for Teachers, 2008
This article points out an unexpected but common misconception by students dealing with the exponential distribution.
Descriptors: Statistical Distributions, Misconceptions, Mathematics Instruction, Simulation
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Durbach, Ian N.; Barr, Graham D. I. – Teaching Statistics: An International Journal for Teachers, 2008
This article illustrates the concept of statistical independence using the example of slot machines that may be played on multiple lines.
Descriptors: Mathematics Instruction, Teaching Methods, Simulation, Mathematical Concepts
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Hagtvedt, Reidar; Jones, Gregory Todd; Jones, Kari – Teaching Statistics: An International Journal for Teachers, 2008
Confidence intervals are difficult to teach, in part because most students appear to believe they understand how to interpret them intuitively. They rarely do. To help them abandon their misconception and achieve understanding, we have developed a simulation tool that encourages experimentation with multiple confidence intervals derived from the…
Descriptors: Intervals, Simulation, Teaching Methods, Misconceptions
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Hagtvedt, Reidar; Jones, Gregory Todd; Jones, Kari – Teaching Statistics: An International Journal for Teachers, 2007
Students often find the fact that a sample statistic is a random variable very hard to grasp. Even more mysterious is why a sample mean should become ever more Normal as the sample size increases. This simulation tool is meant to illustrate the process, thereby giving students some intuitive grasp of the relationship between a parent population…
Descriptors: Sampling, Simulation, Statistics, Mathematics Instruction
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Johnson, Roger W. – Teaching Statistics: An International Journal for Teachers, 2006
For the casino game Keno we determine optimal playing strategies. To decide such optimal strategies, both exact (hypergeometric) and approximate probability calculations are used. The approximate calculations are obtained via the Central Limit Theorem and simulation, and an important lesson about the application of the Central Limit Theorem is…
Descriptors: Games, Geometric Concepts, Probability, Simulation
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Jones, Gregory Todd; Hagtvedt, Reidar; Jones, Kari – Teaching Statistics: An International Journal for Teachers, 2004
In spite of the name, simple linear regression presents a number of conceptual difficulties, particularly for introductory students. This article describes a simulation tool that provides a hands-on method for illuminating the relationship between parameters and sample statistics.
Descriptors: Regression (Statistics), Simulation, Teaching Methods, Concept Formation