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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
Day, Lorraine – Australian Primary Mathematics Classroom, 2014
Students recognise and analyse data and draw inferences. They represent, summarise and interpret data and undertake purposeful investigations involving the collection and interpretation of data… They develop an increasingly sophisticated ability to critically evaluate chance and data concepts and make reasoned judgments and decisions, as well as…
Descriptors: Foreign Countries, Statistics, Statistical Inference, Elementary Education
Petocz, Peter; Sowey, Eric – Teaching Statistics: An International Journal for Teachers, 2012
The term "data snooping" refers to the practice of choosing which statistical analyses to apply to a set of data after having first looked at those data. Data snooping contradicts a fundamental precept of applied statistics, that the scheme of analysis is to be planned in advance. In this column, the authors shall elucidate the…
Descriptors: Hypothesis Testing, Statistical Analysis, Foreign Countries, Questioning Techniques
Makar, Katie – Australian Mathematics Teacher, 2013
Statistics is one of the most widely used topics for everyday life in the school mathematics curriculum. Unfortunately, the statistics taught in schools focuses on calculations and procedures before students have a chance to see it as a useful and powerful tool. Researchers have found that a dominant view of statistics is as an assortment of tools…
Descriptors: Statistical Inference, Statistics, Prediction, Computation
Blackburn, Greg – E-Learning and Digital Media, 2015
The study investigates (1) the effectiveness of using eLearning-embedded stories and pictures in order to improve learning outcomes for students and (2) how universities can adopt innovative approaches to the creation of Problem-Based Learning (PBL) resources and embed them in educational technology for teaching domain-specific content, such as…
Descriptors: Electronic Learning, Instructional Effectiveness, Teaching Methods, College Freshmen
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
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
Reading, Chris – Statistics Education Research Journal, 2004
Variation is a key concept in the study of statistics and its understanding is a crucial aspect of most statistically related tasks. This study aimed to extend and apply a hierarchy for describing students' understanding of variation that was developed in a sampling context to the context of a natural event in which variation occurs. Students aged…
Descriptors: Weather, Classification, Secondary School Students, Student Evaluation