Types of variables

Question 1

Population

Answer 1

complete set of objects

Question 2

Sample

Answer 2

subset of a given population

Question 3

Cherry picking

Answer 3

modifying or subdividing the sample for better conclusions

Question 4

What is it important for a sample design to be?

Answer 4

accurately represent the population
- gender
- age
- ethnicity
- health conditions

Question 5

Types of data

Answer 5

categorical
continuous

Question 6

Continous

Answer 6

quantitative
measured data
e.g., weight, height, blood pressure

Question 7

Nominal

Answer 7

categorical
cannot be ordered
cannot be counted
e.g., country, gender, occupation, blood type

Question 8

Ordinal

Answer 8

can be ordered
cannot be added or subtracted
e.g., satisfaction rating, education level

Question 9

Categorical

Answer 9

qualitative
ordered/not ordered

Question 10

Type of qualitative data

Answer 10

nominal
ordinal
= categorical

Question 11

Interval

Answer 11

can be ordered
difference measured
no ratio (no meaningful zero)
e.g., exam mark. date, year

Question 12

Ratio

Answer 12

interval
take ratio between two (has meaningful zero) = double
calculate ratio between two values
e.g., distance, height, blood pressure

Question 13

Types of quantitative data

Answer 13

interval
ratio
(continuous)

Question 14

Variable

Answer 14

set of related events that can take on more than one value
changed

Question 15

Independent variable

Answer 15

variable being changed or manipulated
controlled to determine relationship of an observed outcome
predictor

Question 16

Dependent variable

Answer 16

variable being observed/measured as a result of IV being manipulated
something that may depend on the IV
outcome

Question 17

Level of IV

Answer 17

one IV
but multiple levels within

Question 18

Control variable

Answer 18

variable kept constant to prevent influence effect of IV on DV