statistics
STAT200 Introduction to Statistics
Dataset for Written Assignments
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-Annual Expenditures |
Sixth Column |
Total Amount of Annual Expenditures |
Amount in US Dollars |
|
USD-Housing |
Seventh Column |
Total Amount of Annual Expenditure on Housing |
Amount in US Dollars |
|
USD-Electricity |
Eighth Column |
Total Amount of Annual Expenditure on Electricity |
Amount in US Dollars |
|
USD-Water |
Ninth Column |
Total Amount of Annual Expenditure on Water |
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: the head of household is not married and is 59 years old, has an annual household income of $94,929, a family size of 2, annual expenditures of $55,247, and spends $18,483 on housing, $1,451 on electricity, and $546 on water.
|
UniqueID# |
SE-MaritalStatus |
SE-income |
SE-AgeHeadHousehold |
SE-FamilySize |
USD-AnnualExpenditures |
USD-Housing |
USD-Electricity |
USD-Water |
|
1 |
Not Married |
94929 |
59 |
2 |
55247 |
18483 |
1451 |
546 |
|
2 |
Not Married |
96621 |
54 |
2 |
55746 |
18149 |
1455 |
540 |
|
3 |
Not Married |
96664 |
53 |
3 |
55558 |
18502 |
1478 |
553 |
|
4 |
Not Married |
96522 |
43 |
4 |
56152 |
18483 |
1457 |
537 |
|
5 |
Not Married |
96697 |
49 |
2 |
56453 |
18520 |
1469 |
545 |
|
6 |
Not Married |
96727 |
39 |
2 |
56440 |
18376 |
1441 |
542 |
|
7 |
Not Married |
94867 |
60 |
1 |
55512 |
18633 |
1485 |
523 |
|
8 |
Not Married |
96690 |
57 |
2 |
56097 |
18334 |
1453 |
535 |
|
9 |
Not Married |
97469 |
35 |
4 |
54929 |
18514 |
1451 |
565 |
|
10 |
Not Married |
96886 |
44 |
2 |
55321 |
18312 |
1450 |
523 |
|
11 |
Not Married |
95744 |
52 |
4 |
55963 |
18435 |
1465 |
555 |
|
12 |
Not Married |
96572 |
59 |
2 |
56515 |
18648 |
1480 |
552 |
|
13 |
Not Married |
95366 |
48 |
2 |
57082 |
18576 |
1478 |
538 |
|
14 |
Not Married |
97912 |
49 |
1 |
55704 |
18619 |
1450 |
553 |
|
15 |
Not Married |
96928 |
43 |
3 |
55932 |
18701 |
1479 |
520 |
|
16 |
Married |
114051 |
42 |
5 |
84486 |
25728 |
1452 |
818 |
|
17 |
Married |
106627 |
56 |
3 |
82676 |
22414 |
1688 |
709 |
|
18 |
Married |
109312 |
37 |
6 |
80801 |
25392 |
1514 |
743 |
|
19 |
Married |
103144 |
29 |
5 |
75393 |
26322 |
1386 |
626 |
|
20 |
Married |
111195 |
30 |
5 |
80865 |
25018 |
1481 |
796 |
|
21 |
Married |
112559 |
39 |
3 |
80934 |
25531 |
1504 |
794 |
|
22 |
Married |
97835 |
30 |
5 |
77765 |
27949 |
1297 |
641 |
|
23 |
Married |
100693 |
42 |
2 |
73294 |
26102 |
1354 |
597 |
|
24 |
Married |
95385 |
50 |
4 |
74110 |
22847 |
1302 |
684 |
|
25 |
Married |
100350 |
31 |
5 |
73771 |
26853 |
1405 |
585 |
|
26 |
Married |
95922 |
55 |
3 |
72228 |
22996 |
1326 |
674 |
|
27 |
Married |
96207 |
27 |
3 |
74620 |
28491 |
1310 |
588 |
|
28 |
Married |
97663 |
51 |
3 |
72971 |
23150 |
1320 |
689 |
|
29 |
Married |
100565 |
18 |
3 |
69203 |
27950 |
1358 |
626 |
|
30 |
Married |
97977 |
44 |
2 |
73198 |
22990 |
1298 |
696 |