Stat project 1
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 53 years old, has an annual household income of $97,681, a family size of 4, annual expenditures of $56,124, and spends $18,676 on housing, $1,468 on electricity, and $551 on water.
|
UniqueID# |
SE-MaritalStatus |
SE-Income |
SE-AgeHeadHousehold |
SE-FamilySize |
USD-AnnualExpenditures |
USD-Housing |
USD-Electricity |
USD-Water |
|
1 |
Not Married |
97681 |
53 |
4 |
56124 |
18676 |
1468 |
551 |
|
2 |
Not Married |
96727 |
39 |
2 |
56440 |
18376 |
1441 |
542 |
|
3 |
Not Married |
95432 |
51 |
1 |
55120 |
18391 |
1458 |
548 |
|
4 |
Not Married |
96928 |
43 |
3 |
55932 |
18701 |
1479 |
520 |
|
5 |
Not Married |
94929 |
59 |
2 |
55247 |
18483 |
1451 |
546 |
|
6 |
Not Married |
95744 |
52 |
4 |
55963 |
18435 |
1465 |
555 |
|
7 |
Not Married |
95366 |
48 |
2 |
57082 |
18576 |
1478 |
538 |
|
8 |
Not Married |
96697 |
49 |
2 |
56453 |
18520 |
1469 |
545 |
|
9 |
Not Married |
96572 |
59 |
2 |
56515 |
18648 |
1480 |
552 |
|
10 |
Not Married |
96653 |
51 |
4 |
56488 |
18838 |
1470 |
535 |
|
11 |
Not Married |
96664 |
53 |
3 |
55558 |
18502 |
1478 |
553 |
|
12 |
Not Married |
96621 |
54 |
2 |
55746 |
18149 |
1455 |
540 |
|
13 |
Not Married |
96886 |
44 |
2 |
55321 |
18312 |
1450 |
523 |
|
14 |
Not Married |
96244 |
56 |
4 |
56051 |
18484 |
1457 |
539 |
|
15 |
Not Married |
94867 |
60 |
1 |
55512 |
18633 |
1485 |
523 |
|
16 |
Married |
98351 |
34 |
3 |
76558 |
26513 |
1342 |
547 |
|
17 |
Married |
109312 |
37 |
6 |
80801 |
25392 |
1514 |
743 |
|
18 |
Married |
111478 |
29 |
5 |
82699 |
24949 |
1503 |
814 |
|
19 |
Married |
107511 |
56 |
3 |
83347 |
22915 |
1723 |
773 |
|
20 |
Married |
95835 |
54 |
3 |
73092 |
23252 |
1300 |
705 |
|
21 |
Married |
110553 |
23 |
4 |
81419 |
26991 |
1421 |
719 |
|
22 |
Married |
95706 |
52 |
4 |
71597 |
22376 |
1315 |
694 |
|
23 |
Married |
110651 |
58 |
4 |
83766 |
22899 |
1682 |
754 |
|
24 |
Married |
98491 |
22 |
3 |
75996 |
26283 |
1326 |
620 |
|
25 |
Married |
99610 |
36 |
2 |
73550 |
27164 |
1330 |
627 |
|
26 |
Married |
97663 |
51 |
3 |
72971 |
23150 |
1320 |
689 |
|
27 |
Married |
115766 |
41 |
4 |
83448 |
25679 |
1511 |
767 |
|
28 |
Married |
107235 |
38 |
6 |
83471 |
26074 |
1486 |
769 |
|
29 |
Married |
106627 |
56 |
3 |
82676 |
22414 |
1688 |
709 |
|
30 |
Married |
109523 |
37 |
5 |
84002 |
26771 |
1457 |
768 |