Representativeness
Availability
Anchoring and Adjustment
100

When is a sample representative?

A sample is representative if it is similar in important characteristics to the population from which it was selected.
100

How do we use the availability heuristic. 

We estimate frequency or probability in terms of how easily we think of relevant examples of something. 

100

What is another name for the anchoring and adjustment heuristic?

The anchoring effect.

200

How do we use the representativeness heuristic?

We judge that a sample is likely if it represents the population from which it was drawn.

200

Which two factors hinder judgment accuracy?

Recency and familiarity hinder judgment accuracy.

200

How do we use the anchoring and adjustment heuristic?

We establish an anchor, and then we make adjustments, based on other information.

300

Which two forms of statistical evidence do people often ignore when using the representativeness heuristic?

People often ignore sample size and base rate.

300

What is recency?

People judge recent items to be more likely than they really are. 

300

What is the problem with the anchoring and adjustment heuristic?

The adjustments people make are usually too small. 
400

What is the small sample fallacy?

People assume that a small sample will be representative of the population from which it was selected. Which is not alway true. 

400

What is familiarity?

How easily we can recall something from memory.

400

When is another instance where people use the anchoring and adjustment heuristic?

When people estimate confidence intervals.

500

What is the base rate fallacy?

People often emphasize representativeness and ignore important information about base rate. 

500

Which type of availability heuristic often leads to the correct choice?

The recognition heuristic.

500

What type of problem do people often have when using the anchoring and adjustment heuristic to estimate confidence intervals?

People usually create confidence intervals that are too narrow.

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