Pre-test: Data

Data table

ID	Age	Gender	JobLevel	Income	Department	Satisfaction
A1	52	Female	Junior	61083	Sales	Medium
A2	36	Female	Senior	83213	Marketing	Very High
A3	35	Male	Mid	58421	IT	Medium
A4	24	Male	Junior	35558	IT	Low
A5	58	Male	Mid	48144	Sales	Very High
A6	35	Male	Junior	88465	HR	Very High
A7	46	Female	Junior	64676	Marketing	Medium
A8	47	Male	Senior	99879	Sales	Low
A9	48	Female	Junior	34772	HR	Low
A10	26	Female	Mid	66315	Marketing	Low
A11	48	Male	Junior	118571	Sales	High
A12	49	Male	Junior	109840	IT	Low
A13	30	Male	Senior	109215	IT	Low
A14	50	Male	Junior	41630	HR	High
A15	56	Female	Mid	37416	HR	High
A16	29	Male	Junior	87045	Marketing	Very Low
A17	47	Male	Senior	57634	HR	Medium
A18	28	Female	Junior	87392	IT	Medium
A19	30	Male	Senior	55435	Sales	Very Low
A20	40	Male	Mid	42831	Marketing	Medium

Variable Summary

Variable	Description
ID	Identifier
Age	Employee age
Gender	Male / Female
JobLevel	Job hierarchy: Junior < Mid < Senior
Income	Monthly income in currency
Department	Business unit (Sales, IT, etc.)
Satisfaction	Customer/employee satisfaction level

Question 1

From the table, variables and observations.

Question 2

Which of the variables shown in the table are classified as qualitative or quantitative?

Variable	Type
ID	qualitativequantitative
Age	qualitativequantitative
Gender	qualitativequantitative
JobLevel	qualitativequantitative
Income	qualitativequantitative
Department	qualitativequantitative
Satisfaction	qualitativequantitative

Question 3

Which variables are nominal?

Variable	Type
Age	TRUEFALSE
Gender	TRUEFALSE
JobLevel	TRUEFALSE
Income	TRUEFALSE
Department	TRUEFALSE
Satisfaction	TRUEFALSE

Question 4

Which variables are ordinal?

Variable	Type
Age	TRUEFALSE
Gender	TRUEFALSE
JobLevel	TRUEFALSE
Income	TRUEFALSE
Department	TRUEFALSE
Satisfaction	TRUEFALSE