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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
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Green, Jennifer L.; Smith, Wendy M.; Kerby, April T.; Blankenship, Erin E.; Schmid, Kendra K.; Carlson, Mary Alice – Statistics Education Research Journal, 2018
In this study, we examined how in-service middle-level mathematics teachers used statistics in their own classroom research. Using an embedded single-case design, we analyzed a purposefully selected sample of nine teachers' classroom research papers, identifying several themes within each phase of the statistical problem solving process to…
Descriptors: Introductory Courses, Statistics, Inservice Teacher Education, Mathematics Teachers
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Zetterqvist, Lena – Teaching Mathematics and Its Applications, 2017
Researchers and teachers often recommend motivating exercises and use of mathematics or statistics software for the teaching of basic courses in probability and statistics. Our courses are given to large groups of engineering students at Lund Institute of Technology. We found that the mere existence of real-life data and technology in a course…
Descriptors: Technology Uses in Education, Alignment (Education), Probability, Statistics
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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
Hudson, Peter; Matthews, Kelly – Journal of Science and Mathematics Education in Southeast Asia, 2012
Women are underrepresented in science, technology, engineering and mathematics (STEM) areas in university settings; however this may be the result of attitude rather than aptitude. There is widespread agreement that quantitative problem-solving is essential for graduate competence and preparedness in science and other STEM subjects. The research…
Descriptors: Females, Student Attitudes, Statistical Significance, Males
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Petocz, Peter; Sowey, Eric – Teaching Statistics: An International Journal for Teachers, 2008
In this article, the authors focus on hypothesis testing--that peculiarly statistical way of deciding things. Statistical methods for testing hypotheses were developed in the 1920s and 1930s by some of the most famous statisticians, in particular Ronald Fisher, Jerzy Neyman and Egon Pearson, who laid the foundations of almost all modern methods of…
Descriptors: Hypothesis Testing, Statistical Inference, Statistics, Statistical Analysis
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Derry, Sharon; And Others – Teaching of Psychology, 1995
Maintains that literacy and informed decision making in an uncertain world require the ability to reason statistically. Describes a course designed to help students use statistical concepts as tools for social reasoning within simulations of real-world problems. Describes four types of instructional activities used. (CFR)
Descriptors: Cognitive Processes, Course Content, Course Descriptions, Critical Thinking