The document contains a sample of 16 individuals with details of their age, gender, home ownership status, marital status, salary, and number of children. It then analyzes the age distribution of the sample, showing that most (31.25%) are between 31-35 years old, followed by 25% between 20-25 years old, and 18.75% between 36-40 years old. Pie charts and a bar graph are used to visualize the percentages.

1. Mohammad Hazwan bin Baha
11T0376
UB0203 Developing the Skills of Academic Numeracy & IT

2. Sample Age Gender Own Home Married Salary Children
1 1 2 1 1 1400.56 1
2 2 2 1 2 3000 2
3 1 2 1 2 2345 3
4 3 1 1 1 2176.45 4
5 1 1 2 2 2345 2
6 5 2 2 1 4000 5
7 5 1 1 2 5600 5
8 3 2 2 1 2345 3
9 4 2 1 2 6543 2
10 3 1 1 1 2312 1
11 4 1 2 2 2345 2
12 3 1 2 1 4563 4
13 2 2 1 2 3456 5
14 1 2 1 1 2345 3
15 3 2 1 2 2345 2
16 4 1 2 1 2342 1

3. Age n %
20-25 4 25
26-30 2 12.5
31-35 5 31.25
36-40 3 18.75
40 above 2 12.5
Total 16 100
35
31.25
30
25
25
20 18.75
15
12.5 12.5
10
5
5 4
3
2 2
0
20-25 26-30 31-35 36-40 40 above
n 4 2 5 3 2
% 25 12.5 31.25 18.75 12.5