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Stack, Sue; Watson, Jane – Australian Mathematics Teacher, 2013
There is considerable research on the difficulties students have in conceptualising individual concepts of probability and statistics (see for example, Bryant & Nunes, 2012; Jones, 2005). The unit of work developed for the action research project described in this article is specifically designed to address some of these in order to help…
Descriptors: Secondary School Mathematics, Grade 10, Mathematical Concepts, Probability
Jacob, Bridgette L. – ProQuest LLC, 2013
The difficulties introductory statistics students have with formal statistical inference are well known in the field of statistics education. "Informal" statistical inference has been studied as a means to introduce inferential reasoning well before and without the formalities of formal statistical inference. This mixed methods study…
Descriptors: Statistics, Introductory Courses, Inferences, Mathematical Concepts
Kuan, Foo Lay; Tek, Ong Eng – Journal of Science and Mathematics Education in Southeast Asia, 2007
This paper reports a causal-comparative study of science anxiety among Form Four students in Penang. The Wynstra's (1991) Science Anxiety Inventory (SAI), which consists of six factors (i.e., danger anxiety, science test anxiety, math and problem-solving anxiety, squeamish anxiety, performance anxiety, and science classroom anxiety), was…
Descriptors: Females, Science Tests, Mathematics Tests, Sampling
Nat Counc Teachers Math Yearbook 30th, 1969
Descriptors: Data Collection, Elementary School Mathematics, Instructional Materials, Probability

Webb, Leland F.; McKay, Jamie D. – Arithmetic Teacher, 1978
An "inference can" is described, with two games that allow students to observe and predict events, define population, and draw samples. (MP)
Descriptors: Educational Games, Elementary School Mathematics, Elementary Secondary Education, Instructional Materials

Barbella, Peter; And Others – Mathematics Teacher, 1990
Demonstrates a statistically valid method allowing students to explore randomization. Described are two examples: counting techniques for a small set of data and simulation for a large sample. (YP)
Descriptors: Data Analysis, Data Interpretation, Mathematical Concepts, Mathematical Logic