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Experientially Grounded Learning About the Roles of Variability, Sample Size, and Difference Between Means in Statistical Reasoning.
Jingqi Yu
Robert L. Goldstone
David Landy
Published in:
CogSci (2018)
Keyphrases
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sample size
finite sample
learning algorithm
learning process
active learning
upper bound
model selection
experimental design
statistical tests
supervised learning
small sample size
learning tasks
random sample
machine learning
inductive learning
small sample
covariance matrix
learning environment
number of training samples
hypothesis test