EXERCISE IN STATISTICS

EXERCISE IN STATISTICS
Below are hypothetical data. (1) Organize them in bivariate tables to answer the problems below. Determine the statistics to use for each.
1. Are sex and occupation associated?
2. Are age and income correlated?
3. Are educational attainment and sex associated?
4. Are civil status and occupation associated?
5. Are occupation and income related
N>E> you may use data transformation (from interval data to nominal data)
Respondent No.
Age
Sex
Civil Status
Educational attainment (number of years in school)
Occupation
Income (Php per month)
1
49
M
Married
14 years
Farmer
6,000
2
60
F
Married
20
Teacher
53,000
3
35
F
Married
14
Clerk
8,000
4
18
M
Single
10
Shop Assistant
6,000
5
35
M
Married
8
Farmer
8,000
6
39
F
Single
16
Entrepreneur
50,000
7
25
F
Single
16
Shop Assistant
7,000
8
35
M
Married
18
Chief Executive Officer (CEO)
75,000
9
27
F
Single
14
Teacher
14,000
10
30
F
Married
10
Business (Cottage Industry)
30,000
11
24
F
Married
12
Shop Assistant
6,000
12
55
F
Single
18
CEO
50,000
13
49
M
Married
20
Lawyer
60,000
14
45
M
Married
21
Doctor of Medicine
90,000
15
20
F
Single
6
House Help
2,000
16
21
M
Single
10
Construction Worker
7,000
17
24
F
Single
14
Dress Maker
12,000
18
30
M
Single
15
Engineer
23,000
19
29
M
Single
15
Architect
25,000
20
45
M
Married
20
CEO
30,000
21
36
F
Married
16
Teacher
18,000
22
30
F
Single
12
Dress Maker
10,000
23
26
F
Single
12
Shop Keeper
6,000
24
32
F
Married
13
Cook
10,000
25
34
M
Widowed
14
Clerk
8,000
26
50
M
Married
6
Janitor
6,000
27
45
M
Married
8
Fisherman
6,000
28
50
M
Married
10
Construction Worker
9,000
29
45
F
Widowed
15
Teacher
12,000
30
30
F
Seperated
16
Nurse
10,000
31
29
M
Single
18
Chef
45,000
32
30
F
Married
14
Businesswoman
50,000
33
20
F
Single
10
House Help
2,500
34
33
F
Single
20
Doctor of Medicine
55,000
35
35
F
Married
22
Judge
70,000
36
22
M
Single
14
Businessman
30,000