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Jones, Ryan Seth; Jia, Zhigang; Bezaire, Joel – Mathematics Teacher: Learning and Teaching PK-12, 2020
Too often, statistical inference and probability are treated in schools like they are unrelated. In this paper, we describe how we supported students to learn about the role of probability in making inferences with variable data by building models of real world events and using them to simulate repeated samples.
Descriptors: Statistical Inference, Probability, Mathematics Instruction, Mathematical Models
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Provost, Amanda; Lim, Su San; York, Toni; Panorkou, Nicole – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The frequentist and classical models of probability provide students with different lenses through which they can view probability. Prior research showed that students may bridge these two lenses through instructional designs that begin with a clear connection between the two, such as coin tossing. Considering that this connection is not always…
Descriptors: Probability, Models, Mathematics Instruction, Teaching Methods
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Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
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Šedivá, Blanka – International Journal for Technology in Mathematics Education, 2019
The Monte Carlo method is one of the basic simulation statistical methods which can be used both to demonstrate basic probability and statistical concepts as well as to analyse the behaviour stochastic models. The introduction part of the article provides a brief description of the Monte Carlo method. The main part of the article is concentrated…
Descriptors: Simulation, Monte Carlo Methods, Teaching Methods, Mathematics Instruction
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Tijmstra, Jesper; Bolsinova, Maria; Liaw, Yuan-Ling; Rutkowski, Leslie; Rutkowski, David – Journal of Educational Measurement, 2020
Although the root-mean squared deviation (RMSD) is a popular statistical measure for evaluating country-specific item-level misfit (i.e., differential item functioning [DIF]) in international large-scale assessment, this paper shows that its sensitivity to detect misfit may depend strongly on the proficiency distribution of the considered…
Descriptors: Test Items, Goodness of Fit, Probability, Accuracy
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Lee, Hollylynne S.; Doerr, Helen M.; Tran, Dung; Lovett, Jennifer N. – Statistics Education Research Journal, 2016
Repeated sampling approaches to inference that rely on simulations have recently gained prominence in statistics education, and probabilistic concepts are at the core of this approach. In this approach, learners need to develop a mapping among the problem situation, a physical enactment, computer representations, and the underlying randomization…
Descriptors: Probability, Inferences, Statistics, Teaching Methods
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Wasserman, Nicholas H. – Mathematics Teacher, 2015
Finding and designing tasks that allow for students to make connections among mathematical ideas is important for mathematics educators. One such task, which affords students the opportunity to make connections and engage with significant mathematical ideas through a variety of problem-solving approaches, is described in this article. Three…
Descriptors: Mathematics Instruction, Mathematical Concepts, Statistics, Probability
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Goodwin, Chris; Ortiz, Enrique – Mathematics Teaching in the Middle School, 2015
Modeling using mathematics and making inferences about mathematical situations are becoming more prevalent in most fields of study. Descriptive statistics cannot be used to generalize about a population or make predictions of what can occur. Instead, inference must be used. Simulation and sampling are essential in building a foundation for…
Descriptors: Mathematics Instruction, Models, Inferences, Simulation
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Flores, Alfinio – Mathematics Teacher, 2014
Tossing a fair coin 1000 times can have an unexpected result. In the activities presented here, players keep track of the accumulated total for heads and tails after each toss, noting which player is in the lead or whether the players are tied. The winner is the player who was in the lead for the higher number of turns over the course of the game.…
Descriptors: Mathematics Instruction, Learning Activities, Numbers, Mathematical Concepts
Goldhaber, Dan; Long, Mark C.; Person, Ann E.; Rooklyn, Jordan – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2017
We investigate factors influencing student sign-ups for Washington State's College Bound Scholarship (CBS) program. We find a substantial share of eligible middle school students fail to sign the CBS, forgoing college financial aid. Student characteristics associated with signing the scholarship parallel characteristics of low-income students who…
Descriptors: Predictor Variables, Middle School Students, College Preparation, Mixed Methods Research
Patterson, Brian F. – College Board, 2012
The main goal of this study was to illustrate and provide some direction for dealing with the complexities of propensity score matching within different multilevel contexts. Special attention is given to how procedures typically applied in a non-hierarchical setting may be modified to properly reduce the expected bias in the estimated treatment…
Descriptors: Probability, Scores, Statistical Bias, High School Students
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Tabor, Josh – Journal of Statistics Education, 2010
On the 2009 AP[c] Statistics Exam, students were asked to create a statistic to measure skewness in a distribution. This paper explores several of the most popular student responses and evaluates which statistic performs best when sampling from various skewed populations. (Contains 8 figures, 3 tables, and 4 footnotes.)
Descriptors: Advanced Placement, Statistics, Tests, High School Students
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
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Edwards, Michael Todd; Phelps, Steve – Mathematics Teacher, 2008
Data analysis plays a prominent role in various facets of modern life: Schools evaluate and revise programs on the basis of test scores; policymakers make decisions on the basis of information gleaned from polling data; supermarkets stock shelves on the basis of data collected at checkout lanes. Data analysis provides teachers with new tools and…
Descriptors: Visualization, Data Analysis, Mathematical Concepts, Probability
National Council of Teachers of Mathematics, 2006
The 2006 NCTM Sixty-eighth Yearbook focuses on students' and teachers' learning in statistics centered on a set of activities. Topics include the relation between mathematics and statistics, the development and enrichment of mathematical concepts through the use of statistics, and a discussion of the research related to teaching and learning…
Descriptors: Yearbooks, Probability, Inferences, Educational Technology