guide #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-Food |
Seventh Column |
Total Amount of Annual Expenditure on Food |
Amount in US Dollars |
|
USD-Entertainment |
Eighth Column |
Total Amount of Annual Expenditure on Entertainment |
Amount in US Dollars |
|
USD-Education |
Ninth Column |
Total Amount of Annual Expenditure on Education |
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 40 years old, has an annual household income of $98,717, a family size of 3, annual expenditures of $56,393, and spends $7,036 on food, $106 on entertainment, and $213 on education.
|
UniqueID# |
SE-MaritalStatus |
SE-Income |
SE-AgeHeadHousehold |
SE-FamilySize |
USD-AnnualExpenditures |
USD-Food |
USD-Entertainment |
USD-Education |
|
1 |
Not Married |
98717 |
40 |
3 |
56393 |
7036 |
106 |
213 |
|
2 |
Not Married |
96572 |
59 |
2 |
56515 |
7179 |
95 |
349 |
|
3 |
Not Married |
96690 |
57 |
2 |
56097 |
6822 |
88 |
252 |
|
4 |
Not Married |
96664 |
53 |
3 |
55558 |
7051 |
83 |
295 |
|
5 |
Not Married |
96886 |
44 |
2 |
55321 |
6982 |
79 |
312 |
|
6 |
Not Married |
96522 |
43 |
4 |
56152 |
6991 |
101 |
237 |
|
7 |
Not Married |
97912 |
49 |
1 |
55704 |
6937 |
97 |
277 |
|
8 |
Not Married |
96727 |
39 |
2 |
56440 |
7051 |
93 |
222 |
|
9 |
Not Married |
96928 |
43 |
3 |
55932 |
6953 |
105 |
273 |
|
10 |
Not Married |
95744 |
52 |
4 |
55963 |
7040 |
105 |
340 |
|
11 |
Not Married |
97681 |
53 |
4 |
56124 |
7097 |
108 |
263 |
|
12 |
Not Married |
95432 |
51 |
1 |
55120 |
7089 |
84 |
274 |
|
13 |
Not Married |
94929 |
59 |
2 |
55247 |
6948 |
97 |
236 |
|
14 |
Not Married |
96621 |
54 |
2 |
55746 |
7000 |
106 |
322 |
|
15 |
Not Married |
95366 |
48 |
2 |
57082 |
7130 |
90 |
305 |
|
16 |
Married |
101829 |
45 |
4 |
82385 |
10821 |
201 |
810 |
|
17 |
Married |
98309 |
51 |
2 |
75776 |
9118 |
117 |
477 |
|
18 |
Married |
112559 |
39 |
3 |
80934 |
11189 |
51 |
386 |
|
19 |
Married |
106894 |
51 |
5 |
81585 |
11360 |
185 |
682 |
|
20 |
Married |
98686 |
51 |
3 |
73563 |
9298 |
132 |
455 |
|
21 |
Married |
103422 |
36 |
4 |
80005 |
10616 |
38 |
378 |
|
22 |
Married |
100964 |
28 |
2 |
77744 |
9397 |
174 |
11 |
|
23 |
Married |
95835 |
54 |
3 |
73092 |
9111 |
117 |
476 |
|
24 |
Married |
102326 |
32 |
3 |
74202 |
8844 |
96 |
45 |
|
25 |
Married |
106627 |
56 |
3 |
82676 |
10363 |
179 |
794 |
|
26 |
Married |
95922 |
55 |
3 |
72228 |
9302 |
135 |
472 |
|
27 |
Married |
95975 |
41 |
3 |
73114 |
8922 |
131 |
463 |
|
28 |
Married |
99610 |
36 |
2 |
73550 |
9513 |
158 |
37 |
|
29 |
Married |
114505 |
36 |
5 |
78325 |
11375 |
60 |
482 |
|
30 |
Married |
106977 |
56 |
3 |
79358 |
10611 |
109 |
311 |