Extras

Question 1

Type 1 error

Answer 1

type I error is the incorrect rejection of a true null hypothesis (a “false negative”, i.e., rejecting a true hypothesis as incorrect),

Question 2

Type 2 error

Answer 2

type II error is the failure to reject a false null hypothesis (a “false positive”, i.e., accepting a false hypothesis as correct).

Question 3

Ordinal

Answer 3

not numerical but can be ordered

E.g. rank, satisfaction: poor, ok, good, very good etc.

Question 4

Nominal

Answer 4

categorically discrete like names of books, types of cars, sex etc. can not be ordered, no sense of order
Can not calculate a mean or average for nominal data