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Sourwine, Jasmine – Mathematics Teacher: Learning and Teaching PK-12, 2022
The reality is that textbooks and state standards have more content than can reasonably be covered for proficiency in most classrooms. In years past, this typically meant cutting the last unit or two or moving along regardless of who was keeping up, in many cases resulting in cutting statistics from the curriculum. This article provides five…
Descriptors: Statistics, Algebra, Social Justice, Secondary School Mathematics
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Bonnett, Laura J.; White, Simon R. – Teaching Statistics: An International Journal for Teachers, 2019
We describe an activity that introduces students to population modelling, enables them to use estimates obtained from a sample to infer back to the population, and understands how the findings are translatable via penguins and their poo!
Descriptors: Mathematics Activities, Mathematical Models, Statistics, Statistical Inference
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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Liljedahl, Peter, Ed.; Nicol, Cynthia, Ed.; Oesterie, Susan, Ed.; Allan, Darien, Ed. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
The theme of the 38th meeting of the International Group for the Psychology of Mathematics Education (PME 38) and the 36th meeting of the North American Chapter of the Psychology of Mathematics Education (PME-NA 36) was "Mathematics Education at the Edge." Academically, the theme provides opportunities to highlight and examine…
Descriptors: Foreign Countries, Mathematics Education, Educational Psychology, Educational Research
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Keller, Brian A.; Thompson, Heather A. – Mathematics Teacher, 1999
Presents a hands-on modeling experiment that focuses on hyperbolic functions, asymptotes, data analysis, applied statistics, and optimization problems. (ASK)
Descriptors: Functions (Mathematics), Mathematical Models, Mathematics Activities, Mathematics Instruction
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Ratliff, Michael I.; Martinez-Cruz, Armando M. – Mathematics and Computer Education, 2002
Aims for students to use a combination of stochastic ideas to simulate a basketball tournament. Uses the TI-83 calculator in the activity to simulate the binomial distribution. (KHR)
Descriptors: Computer Uses in Education, Graphing Calculators, Mathematical Models, Mathematics Activities
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Kohler, Angela D. A. – Mathematics Teacher, 2002
Presents an activity in which students predict the growth of the population of the United Stated using three different models. (Author/NB)
Descriptors: Calculus, Data Analysis, Mathematical Applications, Mathematical Models
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Talsma, Gary – Mathematics Teacher, 1999
Describes an investigation that leads to one of the significant contributions that sabermetrics--new approaches to gaining information about baseball from its numerical records--has made to our understanding of baseball. (ASK)
Descriptors: Baseball, Data Analysis, Mathematical Models, Mathematics Activities
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Kasprzak, Edward M. – Mathematics Teacher, 2002
Guides students through the process of designing a window. Allows them to use technology and a variety of representations while maximizing and minimizing the dimensions based on cost and light. Includes activity sheets. (Author/NB)
Descriptors: Data Analysis, Design, Graphing Calculators, Light
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Appelbaum, Elizabeth Berman – Mathematics Teacher, 2000
Describes a simulation using dice-tossing students in a population cluster to model the growth of cancer cells. This growth is recorded in a scatterplot and compared to an exponential function graph. (KHR)
Descriptors: Educational Games, Graphs, Interdisciplinary Approach, Mathematical Concepts
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Riley, Kyle – Mathematics and Computer Education, 2002
Presents a simple method for estimating the volatility of stock prices and uses a spreadsheet to apply the method to actual stock prices. This method is an application of parameter estimation and can be used in an introductory statistics course. (KHR)
Descriptors: Computer Uses in Education, Economics, Estimation (Mathematics), Higher Education