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Strayer, Jeremy; Matuszewski, Amber – Mathematics Teacher, 2016
In this article, Strayer and Matuszewski present a six-phase strategy that teachers can use to help students develop a conceptual understanding of inferential hypothesis testing through simulation. As Strayer and Matuszewski discuss the strategy, they describe each phase in general, explain how they implemented the phase while teaching their…
Descriptors: Mathematics Instruction, Teaching Methods, Hypothesis Testing, Simulation
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
Laumakis, Paul – Mathematics Teacher, 2011
When taking mathematics courses, students will sometimes ask their recurring question, "When will I ever use this in real life?" Educators are often unable to provide a direct connection between what they are teaching in the classroom and a real-life application. However, when such an opportunity does arise, they should seize it and…
Descriptors: Regression (Statistics), Mathematics Instruction, Mathematics, Mathematics Curriculum
Koban, Lori; McNelis, Erin – Mathematics Teacher, 2008
Fantasy baseball, a game invented in 1980, allows baseball fans to become managers of pretend baseball teams. In most fantasy baseball leagues, participants choose teams consisting of major league players who they believe will do well in five offensive categories (batting average, home runs, runs batted in, stolen bases, and runs scored) or in…
Descriptors: Team Sports, Fantasy, Statistical Inference, Statistics
Mulekar, Madhuri S.; Siegel, Murray H. – Mathematics Teacher, 2009
If students are to understand inferential statistics successfully, they must have a profound understanding of the nature of the sampling distribution. Specifically, they must comprehend the determination of the expected value and standard error of a sampling distribution as well as the meaning of the central limit theorem. Many students in a high…
Descriptors: Statistical Inference, Statistics, Sample Size, Error of Measurement

Calzada, Maria E.; Scariano, Stephen M. – Mathematics Teacher, 1999
The study of statistics can be enhanced by using real-world data and problems obtained from the Internet. Uses data on HIV infections in Asian and Pacific Islander females to teach both descriptive and inferential statistics. (ASK)
Descriptors: Internet, Mathematics Activities, Mathematics Instruction, Relevance (Education)

Flaspoher, David C.; Dinkheller, Ann L. – Mathematics Teacher, 1999
Presents a problem that describes a real-world situation from World War II that tries to estimate the number of German tanks, half-tracks, and aircraft, and a simulation of that problem in which the selection of a suitable estimate is less apparent. (ASK)
Descriptors: Estimation (Mathematics), Integrated Activities, Mathematics Instruction, Relevance (Education)

Hinders, Duane C. – Mathematics Teacher, 1990
Discusses the use or misuse of statistics or probability in society. Presented are examples from opinion polling, sports, the 1970 draft lottery, and the law. Lists 18 references. (YP)
Descriptors: Data Interpretation, Mathematical Applications, Mathematical Concepts, Mathematical Logic

Haigh, William E. – Mathematics Teacher, 1987
This article investigates two common methods of determining the line of best fit and then expands on the techniques used in these methods to find the line of best fit by graphing, estimating and using a microcomputer. (PK)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Courseware, Graphs

Bonsangue, Martin V. – Mathematics Teacher, 1992
Describes the model for decision making used in inferential statistics and real-world applications that parallel the statistical model. Discusses two activities that ask students to write about a personal decision-making experience and create a mock trial in which the class makes the decision of guilt or innocence. (MDH)
Descriptors: Decision Making, Enrichment Activities, High Schools, Higher Education