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Tim Erickson – Australian Mathematics Education Journal, 2023
This short article continues the exploration of the Common Online Data Analysis Platform (CODAP) and statistics begun in the previous article "Statistical Investigations and CODAP, Part 1: EDA." In Part 2, the author discusses the teaching of statistical inference focusing on activities for the senior secondary years. In particular, the…
Descriptors: Computer Software, Statistics Education, Statistical Inference, Secondary Education
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Singaravelu, G. – Journal on School Educational Technology, 2013
The present study enlightens the impact of Learner- Oriented-Virtual Learning in enriching knowledge in Environmental Education at primary level.To achieve the expected competency in Biodiversity, various approaches were adopted in the class room transaction which were not fruitful. Hence the researcher practiced the Learner-Oriented-Virtual…
Descriptors: Virtual Classrooms, Foreign Countries, Environmental Education, Biodiversity
LaFleur, Bonnie J.; Greevy, Robert A. – Journal of Clinical Child and Adolescent Psychology, 2009
A resampling-based method of inference--permutation tests--is often used when distributional assumptions are questionable or unmet. Not only are these methods useful for obvious departures from parametric assumptions (e.g., normality) and small sample sizes, but they are also more robust than their parametric counterparts in the presences of…
Descriptors: Sampling, Statistical Inference, Nonparametric Statistics, Hypothesis Testing

Hu, Xiangen; Batchelder, William H. – Psychometrika, 1994
The statistical analysis of processing tree models is advanced by showing how the parameters of estimation and hypothesis testing, based on the likelihood functions, can be accomplished by adapting the expectation-maximization (EM) algorithm. The adaptation makes it easy to program a personal computer to accomplish the stages of statistical…
Descriptors: Computer Software, Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing