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Johnson, Carla C., Ed.; Walton, Janet B., Ed.; Peters-Burton, Erin E., Ed. – NSTA Press, 2019
What if you could challenge your 11th graders to figure out the best response to a partial meltdown at a nuclear reactor in fictional Gammatown, USA? With this volume in the "STEM Road Map Curriculum Series," you can! "Radioactivity" outlines a journey that will steer your students toward authentic problem solving while…
Descriptors: Grade 11, High School Students, STEM Education, Nuclear Energy
Calzada, Maria E.; Gardner, Holly – Mathematics and Computer Education, 2011
The results of a simulation conducted by a research team involving undergraduate and high school students indicate that when data is symmetric the student's "t" confidence interval for a mean is superior to the studied non-parametric bootstrap confidence intervals. When data is skewed and for sample sizes n greater than or equal to 10,…
Descriptors: Intervals, Effect Size, Simulation, Undergraduate Students
CadwalladerOlsker, Todd D. – Mathematics Teacher, 2011
Bayes's theorem is notorious for being a difficult topic to learn and to teach. Problems involving Bayes's theorem (either implicitly or explicitly) generally involve calculations based on two or more given probabilities and their complements. Further, a correct solution depends on students' ability to interpret the problem correctly. Most people…
Descriptors: Critical Thinking, Probability, Mathematical Logic, Mathematics Skills
Pipinos, Savas – Mathematics Teaching, 2010
This article describes one classroom activity in which the author simulates the Newtonian gravity, and employs the Euclidean Geometry with the use of new technologies (NT). The prerequisites for this activity were some knowledge of the formulae for a particle free fall in Physics and most certainly, a good understanding of the notion of similarity…
Descriptors: Physics, Geometry, Simulation, Mathematics Instruction
Peer reviewedMcGivney, Raymond J., Jr.; Pollino, Benedict – AMATYC Review, 1989
Describes the "Buffon's Needle" problem, which is calculating the probability that a needle will cross one of two separated lines. Calculates the probability when the length of the needle is greater than the space of the two lines. Provides an analytic solution and the results of a computer simulation. (YP)
Descriptors: College Mathematics, Computation, Computer Simulation, Estimation (Mathematics)
Peer reviewedPagni, David L. – Mathematics Teacher, 1993
Investigates the problem of finding the expected number of questions necessary to identify 1 out of a set of 30 attribute blocks. Solutions include the use of a tree diagram or a computer simulation. Generalizes the problem for increased numbers of attributes. (MDH)
Descriptors: Computer Simulation, Mathematical Applications, Mathematical Formulas, Mathematics Education
Peer reviewedSchilling, Mark F. – College Mathematics Journal, 1990
Developed are simple recursion formulas for generating the exact distribution of the longest run of heads, both for a fair coin and for a biased coin. Discusses the applications of runs-related phenomena such as molecular biology, Markov chains, geometric variables, and random variables. (YP)
Descriptors: College Mathematics, Computer Simulation, Higher Education, Mathematical Applications
Peer reviewedChance, Joseph E.; Brazier, Pearl W. – Mathematics Teacher, 1986
Presented are two problems that can be solved using a computer simulation by students who have completed Algebra II. The distance and bisector formulas and the various forms of the equations of a circle and straight line are the topics. Computer program listings are included. (MNS)
Descriptors: Computer Simulation, Computer Software, Geometric Concepts, Mathematical Formulas
Peer reviewedFleet, Tony – Mathematics in School, 1989
Considers definitions of quantiles. Describes median and quartiles. Compares the usefulness of 3 different definitions of quartile using a computer program to simulate 500 quantiles on a sample of a fixed size. Five references are listed. (YP)
Descriptors: College Mathematics, Computer Simulation, Computer Software, Definitions
Peer reviewedGordon, Sheldon P.; Gordon, Florence S. – AMATYC Review, 1990
Discusses the application of probabilistic ideas, especially Monte Carlo simulation, to calculus. Describes some applications using the Monte Carlo method: Riemann sums; maximizing and minimizing a function; mean value theorems; and testing conjectures. (YP)
Descriptors: Calculus, College Mathematics, Functions (Mathematics), Higher Education
Peer reviewedCraig, T. W.; Kiang, D. – Physics Teacher, 1991
Presents a problem to determine conditions under which two identical masses, constrained to move along two perpendicular wires, would collide when positioned on the wires and released with no initial velocity. Offers a solution that utilizes the position of the center of mass and a computer simulation of the phenomenon. (MDH)
Descriptors: Computer Simulation, Enrichment Activities, Force, Geometry
Peer reviewedDanesh, Iraj – Journal of Computers in Mathematics and Science Teaching, 1989
Describes the deterministic simulation (a given input always leads to the same output) and probabilistic simulation (new states are subject to predefined laws of chance). Provides examples of the application of the two simulations with mathematical expressions and PASCAL program. Lists seven references. (YP)
Descriptors: College Science, Computer Oriented Programs, Computer Simulation, Computers
Peer reviewedChen, Daniel M. – Engineering Design Graphics Journal, 1990
Presented is a proposed formula for determining the bearing angle and the slope angle for the line of intersection using the strike and dip angles of two given plane segments. Included is the development of the formula and three example problems. (KR)
Descriptors: College Science, Computer Assisted Design, Computer Assisted Instruction, Computer Graphics
Peer reviewedKinderman, Jesusa Valdez – Physics Teacher, 1992
Describes a computer simulation of the Compton effect designed to lead students to discover (1) the relationship of the electron's final kinetic energy to its angle of scattering and (2) the relationship between the scattering angles of the outgoing electron and photon. (MDH)
Descriptors: Computer Assisted Instruction, Computer Simulation, Discovery Learning, Energy

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