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Cognition 7e, Margaret MatlinChapter 12 . Decision Making. heuristicsKahneman and Tverskyproposed that a small number of heuristics guide human decision makingthe same strategies that normally guide us toward the correct decision may sometimes lead us astray. Cognition 7e, Margaret MatlinChap
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1. Deductive Reasoning and Decision Making Chapter 12
2. Cognition 7e, Margaret Matlin Chapter 12 Decision Making heuristics
Kahneman and Tversky
proposed that a small number of heuristics guide human decision making
the same strategies that normally guide us toward the correct decision may sometimes lead us astray
3. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
coincidences
randomness
representative
4. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
respresentativeness heuristic—we judge that a sample is likely if it is similar to the population from which it was selected
we believe that random-looking outcomes are more likely than orderly outcomes
this heuristic is so persuasive that we often ignore important statistical information that we should consider
5. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
Sample Size and Representativeness
a large sample is statistically more likely to reflect the true proportions in a population than a small sample
small-sample fallacy
6. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
Base Rate and Representativeness
base rate—how often an item occurs in the population
base-rate fallacy—emphasize representativeness and underemphasize important information about base rates
7. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
Base Rate and Representativeness
Kahneman and Tversky—engineers and lawyers study
Bayes' theorem—judgments should be influenced by two factors: the base rate and the likelihood ratio
likelihood ratio—whether the description is more likely to apply to Population A or Population B
8. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
The Conjunction Fallacy and Representativeness
Tversky and Kahneman—"Linda", bank teller, feminist problem
rank statements in terms of probability
9. Cognition 7e, Margaret Matlin Chapter 12 Decision Making The Representativeness Heuristic
The Conjunction Fallacy and Representativeness
conjunction rule—the probability of the conjunction of two events cannot be larger than the probability of either of its constituent events
conjunction fallacy—people judge the probability of the conjunction of two events to be greater than the probability of a constituent event
judge representativeness instead of statistical probability
10. Cognition 7e, Margaret Matlin Chapter 12 Conjunction Fallacy