Which model was a good predictor for classifying people when attributes, such as marital status, do ...

Which model was a good predictor for classifying people when attributes, such as marital status, do not differ along continuous dimensions?
 
  a. nearest neighbor c. feature frequency
  b. prototype d. average distance

Question 2

After learning schematic faces, which category strategy did students use most often?
 
  a. nearest neighbor c. feature frequency
  b. prototype d. average distance

Question 3

Which is most useful for predicting the typicalities of members in common taxonomic categories but not as useful in predicting typicalities in goal-driven categories?
 
  a. nearest neighbor c. family resemblance
  b. person perception d. average distance