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Colindres, Carlos A. Mejía; Peters, Stephanie – Mathematics Teacher, 2019
According to the conceptual framework for K-grade 12 statistics education introduced in the 2007 Guidelines for Assessment and Instruction in Statistics Education (GAISE) report, students can be located at one of three developmental levels of statistical literacy: A, B, or C. These levels are independent of age and grade level, so, in theory,…
Descriptors: Mathematics Instruction, Probability, Mathematics Teachers, Grade 8
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
Brelias, Anastasia – Mathematics Teacher, 2015
Recommendations for reforming high school mathematics curricula emphasize the importance of engaging students in mathematical investigations of societal issues (CCSSI [Common Core State Standards Initiative] 2010; NCTM [National Council of Teachers of Mathematics] 2000). Proponents argue that these investigations can positively influence students'…
Descriptors: Secondary School Mathematics, High Schools, Mathematics Curriculum, Statistics
Offenholley, Kathleen H. – Mathematics Teacher, 2013
The Borough of Manhattan Community College (BMCC) in New York City is fourth among all community colleges in awarding degrees to minority students and in awarding degrees to African Americans. The BMCC student body is approximately 37 percent Hispanic, 33 percent black, 15 percent white, and 15 percent Asian. In addition, a significant proportion…
Descriptors: Community Colleges, Minority Group Students, English Language Learners, Immigrants
Peters, Susan A. – Mathematics Teacher, 2010
How can statistics clearly be mathematical and yet distinct from mathematics? The answer lies in the reality that statistics is both an art and a science, and both aspects are important for teaching and learning statistics. Statistics is a mathematical science in that it applies mathematical theories and techniques. Mathematics provides the…
Descriptors: Statistics, Mathematics Instruction, Statistical Analysis, Data Collection
Peer reviewedSchwertman, Neil C. – Mathematics Teacher, 2000
Presents activities designed to introduce a mathematical idea having several applications for determining the optimal location for a radio station's transmitter and the best locations for a fire station. Includes student worksheets and solutions. (KHR)
Descriptors: Calculus, Mathematical Applications, Mathematics Activities, Mathematics Instruction
Brown, S. L.; Rizzardi, M. A. – Mathematics Teacher, 2005
The article describes the harmonic mean and explores situations for using it. Activities that involve hands-on practice for students are provided. Students learn to recognize which mean, harmonic or arithmetic, is appropriate.
Descriptors: Arithmetic, Statistics, Problem Solving, Data Analysis
Peer reviewedEdwards, Thomas G.; Chelst, Kenneth R. – Mathematics Teacher, 2002
Discusses students' exploration of a particular rational function in the context of people waiting in line for service. The concepts of domain, range, and asymptotes are also developed in that context as is the effect of changes in input variables on function outputs. (Author/NB)
Descriptors: Data Analysis, Mathematical Models, Problem Solving, Secondary Education
Peer reviewedStaib, John – Mathematics Teacher, 1982
An approach to using the method of least squares, a scheme for computing the best-fitting line directly from a set of points, is detailed. The material first looks at fitting a numerical value to a set of numbers. This provides tools for solving the line-fitting problem. (MP)
Descriptors: Algebra, Algorithms, Mathematical Applications, Mathematical Models
Peer reviewedSchwertman, Neil C. – Mathematics Teacher, 1999
Encourages students to use reasoning and quantitative problem-solving skills to discover the solution to an important practical problem related to absolute-value function and statistical median. (ASK)
Descriptors: Functions (Mathematics), Mathematics Activities, Mathematics Instruction, Problem Solving
Peer reviewedMansheim, Jan; Baldridge, Phyllis – Mathematics Teacher, 1987
Solutions to a problem on seating arrangements and one on a box-office situation are discussed; a statistical approach is used. Four computer programs are included. (MNS)
Descriptors: Computer Software, Learning Activities, Mathematics Instruction, Probability
Peer reviewedWatson, James O. – Mathematics Teacher, 1993
Proposes sports statistics as a source of interesting and motivating problems for algebra students. Examines the possible solutions to a problem involving winning percentages in baseball. (MDH)
Descriptors: Algebra, Baseball, Equations (Mathematics), High Schools
Peer reviewedBooth, Ada – Mathematics Teacher, 1973
The social science finding that two-thirds of a population of successful males are first-born sons provided the motivation for a problem solved by a 12th grade honors class. The class proved that the probability of choosing a first-born son from a male population is about two-thirds. (JP)
Descriptors: Experiential Learning, Instruction, Mathematical Applications, Mathematics Education
Peer reviewedMacDonald, A. D. – Mathematics Teacher, 1982
A method of organizing data known as a stem-leaf plot is presented in detail. This method is viewed to overcome many of the disadvantages associated with the traditional methods of grouping in the frequency distribution table and provides a convenient introduction to data organization. (MP)
Descriptors: College Mathematics, Higher Education, Mathematical Applications, Mathematics Instruction
Peer reviewedHouse, Peggy A. – Mathematics Teacher, 1994
Describes some mathematical investigations of the necktie which includes applications of geometry, statistics, data analysis, sampling, probability, symmetry, proportion, problem solving, and business. (MKR)
Descriptors: Clothing, Data Analysis, Geometry, Learning Activities

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