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Chaput, J. Scott; Crack, Timothy Falcon; Onishchenko, Olena – Journal of Statistics and Data Science Education, 2021
How accurately can final-year students majoring in statistics, physics, and finance label the vertical axis of a normal distribution, explain their label, identify units, and answer a question about the impact of horizontal-axis rescaling? Our survey finds that only 27 out of 148 students surveyed (i.e., 18.2%) could label the vertical axis of the…
Descriptors: Undergraduate Students, Advanced Students, Business Administration Education, Mathematics Skills
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Diwakar, Rekha – Practical Assessment, Research & Evaluation, 2017
Many existing methods of statistical inference and analysis rely heavily on the assumption that the data are normally distributed. However, the normality assumption is not fulfilled when dealing with data which does not contain negative values or are otherwise skewed--a common occurrence in diverse disciplines such as finance, economics, political…
Descriptors: Statistical Inference, Statistical Distributions, Research, Foreign Countries
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Xu-Friedman, Matthew A. – Advances in Physiology Education, 2013
The quantal hypothesis is central to the modern understanding of how a neurotransmitter is released from synapses. This hypothesis expresses that a neurotransmitter is packaged together in quanta that are released probabilistically. The experiments that led to the quantal hypothesis are often related in introductory neuroscience textbooks, but…
Descriptors: Physiology, Probability, Textbooks, Neurosciences
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Prodromou, Theodosia; Pratt, Dave – Technology, Knowledge and Learning, 2013
This paper presents a case study of students (age 14-15) as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by a "BasketBall" simulation. The student activity is analysed through dimensions of complex causality. The…
Descriptors: Computer Simulation, Junior High School Students, Probability, Statistical Distributions
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Kahle, David – Journal of Statistics Education, 2014
In this article, I introduce a novel applet ("module") for exploring probability distributions, their samples, and various related statistical concepts. The module is primarily designed to be used by the instructor in the introductory course, but it can be used far beyond it as well. It is a free, cross-platform, stand-alone interactive…
Descriptors: Monte Carlo Methods, Learning Modules, Probability, Statistical Distributions
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Phelps, James L. – Educational Considerations, 2012
In most school achievement research, the relationships between achievement and explanatory variables follow the Newton and Einstein concept/principle and the viewpoint of the macro-observer: Deterministic measures based on the mean value of a sufficiently large number of schools. What if the relationships between achievement and explanatory…
Descriptors: Academic Achievement, Computation, Probability, Statistics
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Bump, Wren M. – 1991
The normal curve has long been important in statistics. Most interval variables yield normal or quasi-normal distributions when data are collected from large samples, and the normal "Z" distribution is also used as a test statistic (e.g., to test differences between two means when sample size is large, since "t" approaches…
Descriptors: Data Collection, Equations (Mathematics), Functions (Mathematics), Graphs