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Peters, Susan A.; Bay-Williams, Jennifer M.; Martinie, Sherri L. – National Council of Teachers of Mathematics, 2016
As high school students make more and more important decisions, their need for financial literacy increases significantly. To succeed in life, they need both an understanding of financial issues and the math skills to make financially sound choices. With all the requirements and standards to be met in high schools today, how can teachers find room…
Descriptors: High School Students, Money Management, Mathematics Skills, Common Core State Standards
Actuarial Foundation, 2013
"Shake, Rattle, & Roll" is a new program developed by The Actuarial Foundation with Scholastic, provides dynamic real-world math content designed to build student skills while showing students the relevance of math to understanding their world and planning for their future. Math skills are increasingly important for students. According to the U.S.…
Descriptors: Grade 6, Grade 7, Grade 8, Gifted
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 modules also introduce students to real world math concepts and problems that property and casualty actuaries come across in their work. They are designed to be used by teachers and…
Descriptors: Probability, Statistics, Learning Modules, Calculus
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Henningsen, Jacqueline – Mathematics Teacher, 1984
Techniques that students can use to make predictions about performances in the Olympics include point estimation. This is used to estimate a single value using a set of data. A worksheet for students is included. (MNS)
Descriptors: Learning Activities, Mathematics Instruction, Prediction, Probability
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Banks, Stephen W.; Shepherd, Deborah K.; Williams-Hart, Tara; Gossett, Dalton R.; Crnkovic, Amanda C. – Journal of Biological Education, 2007
This paper is based upon a laboratory exercise designed for biology students in secondary schools or those taking introductory biology laboratory courses in colleges and universities. This exercise requires a set of calipers, a calculator and populations of snail shells collected either from the wild or obtained from a biological supply house. The…
Descriptors: Science Laboratories, Biology, Probability, Science Activities
Bernard, John E. – 1986
This paper describes the development of curriculum materials for teaching the Sum of Squared Errors (SSE) to one class of 25 eighth graders in Hawaii. Microcomputers were used in class. Prior to explicit introduction of the SSE students were given repeated contact with a data base of various statistics collected from members of their class. Then a…
Descriptors: Computer Oriented Programs, Curriculum Development, Estimation (Mathematics), Grade 8
Troy, John R.; And Others – 1981
Presented are review questions and exercises for several mathematics topics. The first five sections cover the following major topics of the course: algebra, geometry, logic, probability, and statistics. Each of these five units follows a similar format. Each major topic is broken into several subtopics, with examples for each topic taken from…
Descriptors: Algebra, Evaluation, Geometry, Instructional Materials
Armstrong, Richard; And Others – 1980
This two-volume teacher's guide is to be used with a second-semester, sixth-grade mathematics program. The manner of presentation and the pedagogical ideas and tools are based on the works of Georges and Frederique Papy. They are recognized as having introduced colored arrow drawings ("papygrams") and models of our numeration system (the…
Descriptors: Algorithms, Diagrams, Elementary Education, Elementary School Mathematics
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Norwood, Karen S.; Coston, Yvonne M. – Arithmetic Teacher, 1993
Describes four activities for grade levels K-3, 4-5, and 6-8 and for the family that explore statistical concepts using a manipulative familiar to students-SKITTLES candies. Concepts explored include frequency graphs, data collection and analysis, probability, measures of central tendency, averaging, and correlation coefficients. Includes…
Descriptors: Computation, Cooperative Learning, Correlation, Data Analysis