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Download full textMartínez Pérez, Sandra Areli; Sánchez Sánchez, Ernesto A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
This work reports the results of a research aimed to know the probabilistic reasoning of high-school students when they deal with the notion of random intervals. An activity was carried out involving students between ages 16 and 17 who built random intervals through physical and computational simulations. The research question guiding this work…
Descriptors: High School Students, Thinking Skills, Probability, Intervals
Direct linkVaughan, Timothy S. – Journal of Statistics Education, 2015
This paper introduces a dataset and associated analysis of the scores of National Football League (NFL) games over the 2012, 2013, and first five weeks of the 2014 season. In the face of current media attention to "lopsided" scores in Thursday night games in the early part of the 2014 season, t-test results indicate no statistically…
Descriptors: Team Sports, Success, Scores, Statistics
Tanno, Takayuki; Sakagami, Takayuki – Journal of the Experimental Analysis of Behavior, 2008
This study focused on variables that may account for response-rate differences under variable-ratio (VR) and variable-interval (VI) schedules of reinforcement. Four rats were exposed to VR, VI, tandem VI differential- reinforcement-of-high-rate, regulated-probability-interval, and negative-feedback schedules of reinforcement that provided the same…
Descriptors: Reinforcement, Animals, Intervals, Responses
Jozefowiez, J.; Staddon, J. E. R.; Cerutti, D. T. – Psychological Review, 2009
The authors propose a simple behavioral economic model (BEM) describing how reinforcement and interval timing interact. The model assumes a Weber-law-compliant logarithmic representation of time. Associated with each represented time value are the payoffs that have been obtained for each possible response. At a given real time, the response with…
Descriptors: Intervals, Metacognition, Reinforcement, Time
Kessel, Robert; Lucke, Robert L. – Journal of the Experimental Analysis of Behavior, 2008
Shull, Gaynor and Grimes advanced a model for interresponse time distribution using probabilistic cycling between a higher-rate and a lower-rate response process. Both response processes are assumed to be random in time with a constant rate. The cycling between the two processes is assumed to have a constant transition probability that is…
Descriptors: Statistical Analysis, Probability, Monte Carlo Methods, Simulation
Alvarado, Angelica; Jara, Elvia; Vila, Javier; Rosas, Juan M. – Learning and Motivation, 2006
Five experiments were conducted to explore trial order and retention interval effects upon causal predictive judgments. Experiment 1 found that participants show a strong effect of trial order when a stimulus was sequentially paired with two different outcomes compared to a condition where both outcomes were presented intermixed. Experiment 2…
Descriptors: Time, Retention (Psychology), Intervals, Stimuli
