In: Statistics and Probability
Variable 1: Income
Find median and standard deviation:
Graph using histogram:
Description of Findings:
Variable 2: Marital Status
Find mode:
Graph using pie chart:
Description of Findings:
Variable 3: Family Size
Find mean and variance:
Graph using histogram:
Description of Findings:
Variable 4: Housing
Find mean and variance (in relation to marital status or single and married):
Graph using histogram:
Description of Findings:
Variable 5: Food
Find mean and variance (in relation to marital status or single and married):
Graph using histogram:
Description of findings:
Description of Findings: Briefly discuss each variable in the same sequence as presented in the results. What has the highest expenditure? What variable has the lowest expenditure? If you were to recommend a place to save money, which expenditure would it be and why?
Data Set:
SE-MaritalStatus |
SE-Income |
SE-FamilySize |
USD-Food |
USD-Housing |
Not Married |
95432 |
1 |
7089 |
18391 |
Not Married |
97469 |
4 |
6900 |
18514 |
Not Married |
96664 |
3 |
7051 |
18502 |
Not Married |
96653 |
4 |
6943 |
18838 |
Not Married |
94867 |
1 |
6935 |
18633 |
Not Married |
97912 |
1 |
6937 |
18619 |
Not Married |
96886 |
2 |
6982 |
18312 |
Not Married |
96244 |
4 |
7073 |
18484 |
Not Married |
95366 |
2 |
7130 |
18576 |
Not Married |
96727 |
2 |
7051 |
18376 |
Not Married |
96697 |
2 |
6971 |
18520 |
Not Married |
95744 |
4 |
7040 |
18435 |
Not Married |
96572 |
2 |
7179 |
18648 |
Not Married |
98717 |
3 |
7036 |
18389 |
Not Married |
94929 |
2 |
6948 |
18483 |
Married |
95778 |
4 |
9067 |
22880 |
Married |
109377 |
4 |
10575 |
23407 |
Married |
95706 |
4 |
8925 |
22376 |
Married |
95865 |
1 |
9321 |
22621 |
Married |
109211 |
4 |
11566 |
22219 |
Married |
95994 |
4 |
9231 |
22852 |
Married |
114932 |
5 |
11077 |
26411 |
Married |
112559 |
3 |
11189 |
25531 |
Married |
95807 |
4 |
9210 |
23139 |
Married |
99610 |
2 |
9513 |
27164 |
Married |
95835 |
3 |
9111 |
23252 |
Married |
102081 |
4 |
11738 |
23374 |
Married |
104671 |
4 |
10420 |
22245 |
Married |
107028 |
4 |
10840 |
25671 |
Married |
114505 |
5 |
11375 |
26006 |
Variable 1:- Income
Median = 96681USD, Mean = 99861 USD Standard deviation = 6291USD
Discreption:- 50% of the families have income less than 96681 USD, and the variation of income is more among the families.
Variable 2:- Marital status
Mode = most repeated observation since both married and single are 15 observations hence the mode is both not married and married
Variable 3: Family Size
Mean = 3.067 Variance = 1.513
On an average each family consists of 3 members with a standard deviation of 1.23.
Variable 4: Housing:-
Overall
Mean = 21229 , Variance = 9024016
For single
Mean = 18514.67, Variance = 17917.1
For Married
Mean = 23943.2 , Variance = 2881666
Variable 5: Food:-
Overall
Mean = 8614 , Variance = 3164841
For single
Mean = 7017.667, Variance = 6494.238
For Married
Mean = 10210.53, Variance = 1086796