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Bosman, Lisa B.; O'Brien, Steve; Shanta, Susheela; Strimel, Greg J. – Technology and Engineering Teacher, 2018
The purpose of this article is to provide educators with resources to help students establish a deeper understanding of the application and role of statistical analysis within the design and innovation process. Quantitative analyses are often taught and applied through design activities, especially during testing or experimenting phases of design.…
Descriptors: Design, Engineering Education, Statistical Analysis, Statistics
Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
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
National Council of Teachers of Mathematics, 2009
Reasoning about and making sense of statistics and probability are essential to students' future success. This volume belongs to a series that supports National Council of Teachers of Mathematics' (NCTM's) "Focus in High School Mathematics: Reasoning and Sense Making" by providing additional guidance for making reasoning and sense making part of…
Descriptors: Statistics, Probability, High School Students, Secondary School Mathematics
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
Peer reviewedFalk, Ruma; Tadmor-Troyanski, Maayan – Teaching Statistics, 1999
Describes a game of chance in which players can maximize their expected gain by making appropriate decisions. Explains that developing an optimal strategy involves computing probabilities and conditional expected values. (Author/ASK)
Descriptors: Educational Games, Mathematics Instruction, Secondary Education, Statistical Analysis
Peer reviewedRobison-Cox, James F. – Teaching Statistics, 1999
The concept of confidence intervals is difficult for students to grasp. Describes an activity that helps students understand what it means to have confidence in a process. (Author/ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Statistical Analysis
Peer revieweddu Feu, Chris – Teaching Statistics, 1999
Describes a practical classroom activity for sorting lists of numbers to lead to statistical analysis. (Author/ASK)
Descriptors: Correlation, Mathematics Activities, Mathematics Instruction, Secondary Education
Wirsbinski, William – 1989
This high technology quality assurance and statistics training module is a part of the statistics unit for an algebra I or algebra II course. This module fits into high school math classes in which students compute and display measures of central tendency and variability. The module contains a description, objectives, and content outline--phase I…
Descriptors: Algebra, High Schools, Learning Modules, Quality Control
Peer reviewedYeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
Presented is an example meant to enable students with a scant mathematical education to grasp the meaning of the limit of the binomial distribution. (Author/TG)
Descriptors: Higher Education, Mathematical Concepts, Mathematical Models, Mathematics Education
Peer reviewedRevak, Marie A.; Williams, Jihan G. – Mathematics Teacher, 1999
Presents an experiment to test the statistical hypothesis that Oreo Double Stuf cookies contain twice as much filling as traditional Oreo cookies. (ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Secondary School Mathematics
Landauer, Edwin G. – Computing Teacher, 1984
Describes a student project which illustrates interrelationships among the topics of random sampling, relative frequency concept of probability, design of experiments, and computer generation of data and which involves determining the configurations of numbers and letters on license plates through a microcomputer program. The computer program is…
Descriptors: Assignments, Computer Programs, Microcomputers, Secondary Education
Pfenning, Nancy – 1998
Probability and statistics may be the horror of many college students, but if these subjects are trimmed to include only the essential symbols, they are easily within the grasp of interested middle school or even elementary school students. This book can serve as an introduction for any beginner, from gifted students who would like to broaden…
Descriptors: Elementary Secondary Education, Higher Education, Mathematics Activities, Mathematics Instruction
Lwanga, S. K., Ed.; Tye, Cho-Yook, Ed.; Ayeni, O., Ed. – 1999
This book provides a selection of 23 lesson and seminar outlines designed to encourage the teaching of health statistics. It concentrates on a core of statistical knowledge judged important for all categories of health trainees, including medical students. Emphasis is placed on statistical principles and methods that can help health personnel make…
Descriptors: Administrators, Health, Health Personnel, Lesson Plans
Peer reviewedUccellini, John C. – Mathematics Teaching in the Middle School, 1996
Discusses interpreting the mean for a given set of data in two different ways. The first interpretation relates the mean to an equal distribution of data items, whereas the second interpretation relates the mean to a balancing point of the data. Also presents simple manipulative and graphing activities to provide a deeper understanding of the…
Descriptors: Fundamental Concepts, Mathematics Instruction, Mathematics Skills, Middle Schools

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