Cog Psy Ch 11 Vocabulary

5 Written Questions

1. a model that specifies how people ought to behave to be considered rational.
2. A theorem tat prescribes how to combine the prior probability of a hypothesis with the conditional probability of the evidence, given the hypothesis, to asses the posterior probability of the hypothesis, given the evidence.
3. If one item is recognized and another is not, people view the recognized item to have a higher value on dimensions like size.
4. in the context of Bayes's theorem he probability that a particular piece of evidence will be found if a hypothesis is true,
5. A model that states how people actually behave.

4 Multiple Choice Questions

1. the tendency for people to make different choices among the same alternatives, depending on the statement of the alternatives.
   1. Bayes Theorem
   2. Prescriptive Model
   3. Descriptive Model
   4. Framing Effects
2. the value that someone places on something.
   1. Prior Probability
   2. Posterior Probability
   3. Subjective Utility
   4. Subjective Probability
3. the belief that if a string of probabilistic events has turned out one way, there is an increased probability that the next event will no turn out the other way.
   1. Bayes Theorem
   2. Subjective Probability
   3. Gambler's Fallacy
   4. Subjective Utility
4. the probability people associate with an event, which need not be identical to the event's objective probability
   1. Subjective Probability
   2. Posterior Probability
   3. Subjective Utility
   4. Prior Probability

4 True/False Questions

1. Probability Matching → the value that someone places on something.

   True        False

2. Posterior Probability → In Bayes Theorem, the probability that a hypothesis is true after consideration of the evidence.

   True        False

3. Ventromedial Prefrontal Cortex → the portion of the cortex in the front and center of the brain. It seems to be involved in decision making and self regulation, including activities like gambling.

   True        False

4. Prior Probability → In Bayes Theorem, the probability that a hypothesis is true after consideration of the evidence.

   True        False