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Stoessiger, Rex – Australian Senior Mathematics Journal, 2013
A critical numeracy examination of Benford's Law suggests that our understanding of the integers is faulty. We think of them as equally likely to turn up as the first digit of a random real world number. For many real world data sets this is not true. In many cases, ranging from eBay auction prices to six digit numbers in Google to the…
Descriptors: Numbers, Numeracy, Mathematics, Mathematics Instruction
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Csenki, Attila – International Journal of Mathematical Education in Science and Technology, 2011
In Probability and Statistics taught to mathematicians as a first introduction or to a non-mathematical audience, joint independence of events is introduced by requiring that the multiplication rule is satisfied. The following statement is usually tacitly assumed to hold (and, at best, intuitively motivated): If the n events E[subscript 1],…
Descriptors: Probability, Mathematics, Professional Personnel, Multiplication
Olson, Travis A. – Investigations in Mathematics Learning, 2016
Preservice Secondary Mathematics Teachers (PSMTs) were surveyed to identify if they could connect early-secondary mathematics content (Grades 7-9) in the Common Core State Standards for Mathematics (CCSSM) with mathematics content studied in content courses for certification in secondary teacher preparation programs. Respondents were asked to…
Descriptors: Preservice Teachers, Secondary School Teachers, Mathematics, Mathematics Instruction
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Kolpas, Sid – MathAMATYC Educator, 2011
Augustus De Morgan (1806-1871) was a significant Victorian Mathematician who made contributions to mathematics history, mathematical recreations, mathematical logic, calculus, and probability and statistics. He was an inspiring mathematics professor who influenced many of his students to join the profession. One of De Morgan's significant books…
Descriptors: Probability, Algebra, Mathematical Formulas, Logical Thinking
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Withers, Christopher S.; Nadarajah, Saralees – International Journal of Mathematical Education in Science and Technology, 2011
The linear regression model is one of the most popular models in statistics. It is also one of the simplest models in statistics. It has received applications in almost every area of science, engineering and medicine. In this article, the authors show that adding a predictor to a linear model increases the variance of the estimated regression…
Descriptors: Regression (Statistics), Computation, Models, Prediction
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Busadee, Nutjira; Laosinchai, Parames; Panijpan, Bhinyo – Mathematics Teacher, 2011
Today's students demand that their lessons be real, interesting, relevant, and manageable. Mathematics is one subject that eludes many students partly because its traditional presentation lacks those elements that encourage students to learn. Easy accessibility through electronic media has exposed people all over the world to a variety of sports…
Descriptors: Probability, Athletics, Mathematics, Mathematics Instruction
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Kachapova, Farida; Kachapov, Ilias – International Journal of Mathematical Education in Science and Technology, 2012
Research on teaching high school mathematics shows that the topic of percentages often causes learning difficulties. This article describes a method of teaching percentages that the authors used in university bridging courses. In this method, the information from a word problem about percentages is presented in a two-way table. Such a table gives…
Descriptors: Logical Thinking, Learning Problems, Word Problems (Mathematics), Mathematics
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Cho, Hoyun – Journal of Mathematics Education at Teachers College, 2010
North Korea is one of the most closed nations in the world. It is difficult to access information about their education system. North Korea's economic system was reorganized on July 1, 2002, as well as the education system. This change has impacted North Korea's mathematics education. With limited information on North Korean mathematics textbooks,…
Descriptors: Foreign Countries, Secondary School Mathematics, Textbook Content, Textbooks
Walkup, John R.; Jones, Ben S.; Pilipenko, John; Davenport, David P. – Online Submission, 2008
This article presents a mathematical function for measuring the congruence among the strand representation in the enacted curriculum, state assessments, and district pacing guides. Using the Manhattan distance as its basis, this method allows researchers to incorporate the strand coverage of the enacted curriculum (i.e., the curriculum actually…
Descriptors: Pacing, Mathematics, Evaluation, Geometry
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Braza, Peter A. – International Journal of Mathematical Education in Science & Technology, 2006
Accurate and accessible expressions for the probability of having a matching birthday are obtained by using Stirling's formula and Taylor series. For interest, the results are applied to the planets of our solar system.
Descriptors: Probability, Astronomy, Problem Solving, Computation
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McGivney, 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)
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Schilling, 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
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International Journal of Mathematical Education in Science and Technology, 2007
In this issue's "Classroom Notes" section, the following papers are discussed: (1) "Constructing a line segment whose length is equal to the measure of a given angle" (W. Jacob and T. J. Osler); (2) "Generating functions for the powers of Fibonacci sequences" (D. Terrana and H. Chen); (3) "Evaluation of mean and variance integrals without…
Descriptors: Mathematics, College Mathematics, Units of Study, Lesson Plans
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Gordon, 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