In: Statistics and Probability
Income: What is the meadian and Standard Diviation. Create a histogram of the data and write a description of the findings.
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 |
Given data
SE-MaritalStatus |
SE-Income |
SE-FamilySize |
USD-Food |
USD-Housing |
Not Married |
95432.00 |
1 |
7089 |
18391 |
Not Married |
97469.00 |
4 |
6900 |
18514 |
Not Married |
96664.00 |
3 |
7051 |
18502 |
Not Married |
96653.00 |
4 |
6943 |
18838 |
Not Married |
94867.00 |
1 |
6935 |
18633 |
Not Married |
97912.00 |
1 |
6937 |
18619 |
Not Married |
96886.00 |
2 |
6982 |
18312 |
Not Married |
96244.00 |
4 |
7073 |
18484 |
Not Married |
95366.00 |
2 |
7130 |
18576 |
Not Married |
96727.00 |
2 |
7051 |
18376 |
Not Married |
96697.00 |
2 |
6971 |
18520 |
Not Married |
95744.00 |
4 |
7040 |
18435 |
Not Married |
96572.00 |
2 |
7179 |
18648 |
Not Married |
98717.00 |
3 |
7036 |
18389 |
Not Married |
94929.00 |
2 |
6948 |
18483 |
Married |
95778.00 |
4 |
9067 |
22880 |
Married |
109377.00 |
4 |
10575 |
23407 |
Married |
95706.00 |
4 |
8925 |
22376 |
Married |
95865.00 |
1 |
9321 |
22621 |
Married |
109211.00 |
4 |
11566 |
22219 |
Married |
95994.00 |
4 |
9231 |
22852 |
Married |
114932.00 |
5 |
11077 |
26411 |
Married |
112559.00 |
3 |
11189 |
25531 |
Married |
95807.00 |
4 |
9210 |
23139 |
Married |
99610.00 |
2 |
9513 |
27164 |
Married |
95835.00 |
3 |
9111 |
23252 |
Married |
102081.00 |
4 |
11738 |
23374 |
Married |
104671.00 |
4 |
10420 |
22245 |
Married |
107028.00 |
4 |
10840 |
25671 |
Married |
114505.00 |
5 |
11375 |
26006 |
Total income of all the = 2995838
Number of observations = 30
Mean = 99861
Standard deviation = 6291
The histogram of income is
From the histogram, we can see that more than 50% of observations have income around 97096 USD.