• Corpus ID: 17605198

# THE CONCEPT OF DISTRIBUTION 3

@inproceedings{WildTHECO,
title={THE CONCEPT OF DISTRIBUTION 3},
author={Chris J. Wild}
}
This paper is a personal exploration of where the ideas of " distribution " that we are trying to develop in students come from and are leading to, how they fit together, and where they are important and why. We need to have such considerations in the back of our minds when designing learning experiences. The notion of " distribution " as a lens through which statisticians look at the variation in data is developed. I explore the sources of variation in data, empirical versus theoretical…

## References

SHOWING 1-10 OF 18 REFERENCES

• Mathematics
• 2001
One of the main themes of statistics courses is to teach about variability, as well as location. This is especially important for non-statistics students, who often overlook variability. We consider
• Education
• 2004
The development of reasoning about distribution in seventh-grade classes is described in three stages as students reason about different representations, and it is shown how specially designed software tools, students’ created graphs, and prediction tasks supported the learning of different aspects of distribution.
Drawing conclusions from the comparison of datasets using informal statistical inference is a challenging task since the nature and type of reasoning expected is not fully understood. In this paper a
inferences, Bayesian inferences, being based on the posterior distribution, are conditional on the actual sample that was observed. Chapters 10 and 11 cover Bayesian inference for a normal mean under
• 1999
This paper discusses the thought processes involved in statistical problem solving in the broad sense from problem formulation to conclusions. It draws on the literature and in‐depth interviews with
• Education
• 2004
Until recently, the study of statistics in the United States was confined to the university years, but statistics and data analysis are now featured prominently in most mathematics curricula and are also appearing in the K–12 science standards and curricula.
• Education
• 2004
Basically two main aspects of variation have come to light in these descriptions of variation: how spread out the numbers are and what is happening with the numbers contained within that range.
• R. Gould
• Psychology
STATISTICS EDUCATION RESEARCH JOURNAL
• 2004
A brief survey of a few case studies, as well as a recounting of some history, shows that variability is worthy of study in its own right, and examination of variability leads to insights that might have been missed had the authors focused all of their attention on the "trend" of the data.