CLASSIFICATION OF DATA

Question 1

• Attributes, Categorical
> are results when the information have been sorted into categories.
Example:
◼ Sex
◼ Age level
◼ Curriculum level ◼ Satisfaction level ◼ Educational level

Answer 1

qualitative data

Question 2

Variable, Numerical
• are the results of counting
or measuring
Example:
◼ 50 students (discrete)
◼ Dimension of a room (Continuous number)
◼ Length of a room is about 7.0 meters (point estimate)
◼ Between 6.5-7.5 meters (Interval estimates)

Answer 2

quantitative data

Question 3

two types of variables

Answer 3

quanlitative and quantitative data

Question 4

2 types of qualitative data

Answer 4

nominal and ordinal

Question 5

2 types of quantitative data

Answer 5

discrete and continuous

Question 6

A qualitative variable that categorizes (or describes, or names) an element of a population.

Answer 6

nominal variable

Question 7

A qualitative variable that incorporates an ordered position, or ranking.

Answer 7

ordinal variable

Question 8

A quantitative variable that can assume a countable number of values. Intuitively, a discrete variable can assume values corresponding to isolated points along a line interval. That is, there is a gap between any two values.

Answer 8

discrete variable

Question 9

A quantitative variable that can assume an uncountable number of values. Intuitively, a continuous variable can assume any value along a line interval, including every possible value between any two values.

Answer 9

continuous variable