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Kuzmak, Sylvia – Statistics Education Research Journal, 2016
Teaching probability and statistics is more than teaching the mathematics itself. Historically, the mathematics of probability and statistics was first developed through analyzing games of chance such as the rolling of dice. This article makes the case that the understanding of probability and statistics is dependent upon building a…
Descriptors: Statistics, Probability, Schemata (Cognition), Undergraduate Students
Redden, Joseph P.; Frederick, Shane – Journal of Experimental Psychology: General, 2011
Past research suggests that a categorical event is perceived to be more likely if its subcases are explicitly delineated or "unpacked." In 6 studies, we find that unpacking can often make an event seem less likely, especially when the details being unpacked are already highly accessible. Process evidence shows that the provision of…
Descriptors: Tests, Statistics, Probability, Undergraduate Students
Su, Yin; Rao, Li-Lin; Sun, Hong-Yue; Du, Xue-Lei; Li, Xingshan; Li, Shu – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The debate about whether making a risky choice is based on a weighting and adding process has a long history and is still unresolved. To address this long-standing controversy, we developed a comparative paradigm. Participants' eye movements in 2 risky choice tasks that required participants to choose between risky options in single-play and…
Descriptors: Eye Movements, Risk, Decision Making, Task Analysis
Jian, Lian – ProQuest LLC, 2010
My dissertation contains three studies centering on the question: how to motivate people to share high quality information on online information aggregation systems, also known as social computing systems? I take a social scientific approach to "identify" the strategic behavior of individuals in information systems, and "analyze" how non-monetary…
Descriptors: Information Systems, Internet, Motivation Techniques, Incentives
Kern, John C. – Journal of Statistics Education, 2006
Bayesian inference on multinomial probabilities is conducted based on data collected from the game Pass the Pigs[R]. Prior information on these probabilities is readily available from the instruction manual, and is easily incorporated in a Dirichlet prior. Posterior analysis of the scoring probabilities quantifies the discrepancy between empirical…
Descriptors: Bayesian Statistics, Probability, Inferences, Statistics