GROWTH DEVELOPMENT CHILD
COGNITION AND EMOTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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We generalize our views to other, nonrepresentativeness heuristics
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The representativeness algorithm does not match the representativeness heuristic
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Possible variations in the prototype are considered
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We fail to consider the approximate number of prototypes that actually exist
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Detailed explanation-1: -The problem with the representativeness heuristic is that representativeness doesn’t actually have anything to do with probability-and yet, we put more value on it than we do on information that is relevant. One such type of information is prior probability or base rates: how common something is in general.
Detailed explanation-2: -Representative bias in representativeness heuristics happens because of an overreliance on categories and stereotypes. Amos Tversky and Daniel Kahneman, who first identified this type of heuristic in 1971, found that representative heuristics often led to poor judgments and inaccurate predictions.
Detailed explanation-3: -Representativeness heuristic bias occurs when the similarity of objects or events confuses people’s thinking regarding the probability of an outcome. People frequently make the mistake of believing that two similar things or events are more closely correlated than they actually are.
Detailed explanation-4: -The representativeness heuristic occurs when we estimate the probability of an event based on how similar it is to a known situation. In other words, we compare it to a situation, prototype, or stereotype we already have in mind.