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Dierdorp, Adri; Bakker, Arthur; Eijkelhof, Harrie; van Maanen, Jan – Mathematical Thinking and Learning: An International Journal, 2011
To support 11th-grade students' informal inferential reasoning, a teaching and learning strategy was designed based on authentic practices in which professionals use correlation or linear regression. These practices included identifying suitable physical training programmes, dyke monitoring, and the calibration of measurement instruments. The…
Descriptors: Statistical Inference, Abstract Reasoning, Grade 11, Secondary School Students
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Larwin, Karen H.; Larwin, David A. – Journal of Education for Business, 2011
Bootstrapping methods and random distribution methods are increasingly recommended as better approaches for teaching students about statistical inference in introductory-level statistics courses. The authors examined the effect of teaching undergraduate business statistics students using random distribution and bootstrapping simulations. It is the…
Descriptors: Experimental Groups, Control Groups, Research Design, Grade Point Average
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Kamin, Lawrence F. – American Biology Teacher, 2010
Many statistics texts pose inferential statistical problems in a disjointed way. By using a simple five-step procedure as a template for statistical inference problems, the student can solve problems in an organized fashion. The problem and its solution will thus be a stand-by-itself organic whole and a single unit of thought and effort. The…
Descriptors: Genetics, Statistical Inference, Statistics, Science Instruction
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Meneses, Julio; Fabregues, Sergi; Rodriguez-Gomez, David; Ion, Georgeta – Computers & Education, 2012
In recent years there has been widespread interest in the implementation of information and communication technologies (ICT) in schools. While most studies primarily focus on the use of ICT in teaching and learning, little attention has been given to their incorporation as a professional tool outside the classroom. Using a digital inequality…
Descriptors: Secondary Schools, Information Technology, Foreign Countries, Internet
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Lock, Robin H.; Lock, Patti Frazer – PRIMUS, 2008
Bootstrap methods and randomization tests are increasingly being used as alternatives to standard statistical procedures in biology. They also serve as an effective introduction to the key ideas of statistical inference in introductory courses for biology students. We discuss the use of such simulation based procedures in an integrated curriculum…
Descriptors: Integrated Curriculum, Introductory Courses, Biology, Statistical Inference
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Makar, Katie; Rubin, Andee – Statistics Education Research Journal, 2009
Informal inferential reasoning has shown some promise in developing students' deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference--generalizations "beyond the data," probabilistic language, and data as evidence. The authors use primary school classroom…
Descriptors: Statistical Inference, Elementary School Students, Elementary School Teachers, Elementary School Mathematics
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Lancaster, Julie; Bain, Alan – Asia-Pacific Journal of Teacher Education, 2010
This study compared two versions of a 13-week mandatory undergraduate inclusive education course to determine their effects on the self-efficacy of pre-service elementary education teachers. For the purposes of the research, the self-efficacy construct was applied specifically to working with students who have inclusive educational needs. The…
Descriptors: Educational Needs, Education Courses, Self Efficacy, Comparative Analysis
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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
Johnson, H. Dean; Evans, Marc A. – Australian Mathematics Teacher, 2008
Understanding the concept of the sampling distribution of a statistic is essential for the understanding of inferential procedures. Unfortunately, this topic proves to be a stumbling block for students in introductory statistics classes. In efforts to aid students in their understanding of this concept, alternatives to a lecture-based mode of…
Descriptors: Class Activities, Intervals, Computer Software, Sampling
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
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Woolley, Thomas W. – Teaching Statistics: An International Journal for Teachers, 2004
This article describes an illustration of Bayesian inference that has proved popular with students.
Descriptors: Bayesian Statistics, Statistical Inference, Statistical Analysis, Teaching Methods
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Marsh, Michael T. – American Journal of Business Education, 2009
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
Descriptors: Online Courses, Statistical Analysis, Sampling, Teaching Methods
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Sowey, Eric R – International Journal of Mathematical Education in Science & Technology, 2005
Offering perspectives in the teaching of statistics assists students, immersed in the study of detail, to see the leading principles of the subject more clearly. Especially helpful can be a perspective on the logic of statistical inductive reasoning. Such a perspective can bring to prominence a broad principle on which both interval estimation and…
Descriptors: Statistical Inference, Hypothesis Testing, Logical Thinking, Teaching Methods
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Cohen, S. Alan – Educational Researcher, 1987
Instructional alignment is the extent to which stimulus conditions match three instructional components. This paper demonstrates a new perspective in which instructional alignment generates larger effects in research and practice for less "cost" than other instructional constructs. (VM)
Descriptors: Hypothesis Testing, Mastery Learning, Probability, Statistical Inference
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Ojeda, Mario Miguel; Sahai, Hardeo – International Journal of Mathematical Education in Science and Technology, 2002
Discusses some key statistical concepts in probabilistic and non-probabilistic sampling to provide an overview for understanding the inference process. Suggests a statistical model constituting the basis of statistical inference and provides a brief review of the finite population descriptive inference and a quota sampling inferential theory.…
Descriptors: Educational Strategies, Higher Education, Mathematics Education, Probability
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