descriptive statistics analysis and writeup
Statistics, I need this template below complete according to the instructions and data sheet attached, Please and thank you.
Need assignment help for this question?
If you need assistance with writing your essay, we are ready to help you!
OUR PROCESS
Order
Payment
Writing
Delivery
Why Choose Us: Cost-efficiency, Plagiarism free, Money Back Guarantee, On-time Delivery, Total Сonfidentiality, 24/7 Support, 100% originality
Description of Dataset:
The data is a random sample from the US Department of Labor’s 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names start with SE) and four expenditure variables (whose names start with USD).
Description of Variables/Data Dictionary:
The following table is a data dictionary that describes the variables and their locations in this dataset (Note: Dataset is on second page of this document):
Variable Name |
Location in Dataset |
Variable Description |
Coding |
UniqueID# |
First Column |
Unique number used to identify each survey responder |
Each responder has a unique number from 1-30 |
SE-MaritalStatus |
Second Column |
Marital Status of Head of Household |
Not Married/Married |
SE-Income |
Third Column |
Annual Household Income |
Amount in US Dollars |
SE-AgeHeadHousehold |
Fourth Column |
Age of the Head of Household |
Age in Years |
SE-FamilySize |
Fifth Column |
Total Number of People in Family (Both Adults and Children) |
Number of People in Family |
USD-AnnualExpenditures |
Sixth Column |
Total Amount of Annual Expenditures |
Amount in US Dollars |
USD-Food |
Seventh Column |
Total Amount of Annual Expenditure on Food |
Amount in US Dollars |
USD-Housing |
Eighth Column |
Total Amount of Annual Expenditure on Housing |
Amount in US Dollars |
USD-Transport |
Ninth Column |
Total Amount of Annual Expenditure on Transportation |
Amount in US Dollars |
How to read the data set: Each row contains information from one household. For instance, the first row of the dataset starting on the next page shows us that for the first household in the sample: the head of household is not married and is 51 years old, has an annual household income is $95,432, has a family size of 1, annual expenditures of $55,120, and spends $7,089 on food, $18,391 on housing, and $115 on transportation.
UniqueID# |
SE-MaritalStatus |
SE-Income |
SE-AgeHeadHousehold |
SE-FamilySize |
USD-AnnualExpenditures |
USD-Food |
USD-Housing |
USD-Transport |
1 |
Not Married |
95432 |
51 |
1 |
55120 |
7089 |
18391 |
115 |
2 |
Not Married |
97469 |
35 |
4 |
54929 |
6900 |
18514 |
145 |
3 |
Not Married |
96664 |
53 |
3 |
55558 |
7051 |
18502 |
168 |
4 |
Not Married |
96653 |
51 |
4 |
56488 |
6943 |
18838 |
124 |
5 |
Not Married |
94867 |
60 |
1 |
55512 |
6935 |
18633 |
131 |
6 |
Not Married |
97912 |
49 |
1 |
55704 |
6937 |
18619 |
152 |
7 |
Not Married |
96886 |
44 |
2 |
55321 |
6982 |
18312 |
153 |
8 |
Not Married |
96244 |
56 |
4 |
56051 |
7073 |
18484 |
141 |
9 |
Not Married |
95366 |
48 |
2 |
57082 |
7130 |
18576 |
149 |
10 |
Not Married |
96727 |
39 |
2 |
56440 |
7051 |
18376 |
120 |
11 |
Not Married |
96697 |
49 |
2 |
56453 |
6971 |
18520 |
136 |
12 |
Not Married |
95744 |
52 |
4 |
55963 |
7040 |
18435 |
146 |
13 |
Not Married |
96572 |
59 |
2 |
56515 |
7179 |
18648 |
123 |
14 |
Not Married |
98717 |
40 |
3 |
56393 |
7036 |
18389 |
114 |
15 |
Not Married |
94929 |
59 |
2 |
55247 |
6948 |
18483 |
133 |
16 |
Married |
95778 |
42 |
4 |
73323 |
9067 |
22880 |
201 |
17 |
Married |
109377 |
48 |
4 |
83530 |
10575 |
23407 |
99 |
18 |
Married |
95706 |
52 |
4 |
71597 |
8925 |
22376 |
181 |
19 |
Married |
95865 |
46 |
1 |
74789 |
9321 |
22621 |
168 |
20 |
Married |
109211 |
42 |
4 |
82503 |
11566 |
22219 |
62 |
21 |
Married |
95994 |
55 |
4 |
73404 |
9231 |
22852 |
177 |
22 |
Married |
114932 |
44 |
5 |
81186 |
11077 |
26411 |
153 |
23 |
Married |
112559 |
39 |
3 |
80934 |
11189 |
25531 |
73 |
24 |
Married |
95807 |
56 |
4 |
72949 |
9210 |
23139 |
186 |
25 |
Married |
99610 |
36 |
2 |
73550 |
9513 |
27164 |
33 |
26 |
Married |
95835 |
54 |
3 |
73092 |
9111 |
23252 |
186 |
27 |
Married |
102081 |
42 |
4 |
82331 |
11738 |
23374 |
121 |
28 |
Married |
104671 |
41 |
4 |
82786 |
10420 |
22245 |
84 |
29 |
Married |
107028 |
46 |
4 |
82816 |
10840 |
25671 |
109 |
30 |
Married |
114505 |
36 |
5 |
78325 |
11375 |
26006 |
140 |