The ability to infer general characteristics of populations from specific instances is critical for reasoning. While there is evidence of this capacity in infancy, prior work has not examined children’s ability to use these second-order inferences to make predictions about future outcomes. In the current study, 3-year-olds observed balls drawn at random from two containers. In one sample each ball was a different color. The other sample consisted of balls of only one (Experiment 1) or two (Experiment 2) colors. Children were asked which of the containers was more likely to contain a novel colored ball. A significant majority of children chose the more variable sample’s container. This suggests that 3-year-olds are not only able to make infe...
Learning to generalize from instances is an important part of the development of inductive reasoning...
Previous research has suggested that preschoolers possess a cognitive system that allows them to con...
When adapting to a risky world, decision makers must be capable of grasping the probabilistic nature...
A recent surge of research in cognitive developmental psychology examines whether human learners, fr...
Recent research in cognitive and language development suggests that infants and young children are c...
Research on informal statistical inference has so far attended little to sampling. This paper analyz...
Contains fulltext : 203654.pdf (publisher's version ) (Open Access)From early on i...
From early on in life, children are able to use information from their environment to form predictio...
International audienceThere is growing awareness of the statistical reasoning abilities of young chi...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
From early on in life, children are able to use information from their environment to form predictio...
Most statistical problems encountered throughout life require the ability to quantify probabilities ...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
URL to paper on conference site.Young human learners possess a remarkable ability to make inductive ...
Do young children have a basic intuition of posterior probability? Do they update their decisions an...
Learning to generalize from instances is an important part of the development of inductive reasoning...
Previous research has suggested that preschoolers possess a cognitive system that allows them to con...
When adapting to a risky world, decision makers must be capable of grasping the probabilistic nature...
A recent surge of research in cognitive developmental psychology examines whether human learners, fr...
Recent research in cognitive and language development suggests that infants and young children are c...
Research on informal statistical inference has so far attended little to sampling. This paper analyz...
Contains fulltext : 203654.pdf (publisher's version ) (Open Access)From early on i...
From early on in life, children are able to use information from their environment to form predictio...
International audienceThere is growing awareness of the statistical reasoning abilities of young chi...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
From early on in life, children are able to use information from their environment to form predictio...
Most statistical problems encountered throughout life require the ability to quantify probabilities ...
Previous work has demonstrated the importance of both naïve theories and statistical evidence to chi...
URL to paper on conference site.Young human learners possess a remarkable ability to make inductive ...
Do young children have a basic intuition of posterior probability? Do they update their decisions an...
Learning to generalize from instances is an important part of the development of inductive reasoning...
Previous research has suggested that preschoolers possess a cognitive system that allows them to con...
When adapting to a risky world, decision makers must be capable of grasping the probabilistic nature...