Inferential Statistics Data Analysis Plan and Computation
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 31 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 35 years old, has an annual household income is $97,469, has a family size of 4, annual expenditures of $54,929, and spends $6,900 on food, $18,514 on housing, and $145 on transportation.
|
UniqueID# |
SE-MaritalStatus |
SE-Income |
SE-AgeHeadHousehold |
SE-FamilySize |
USD-AnnualExpenditures |
USD-Food |
USD-Housing |
USD-Transport |
|
1 |
Not Married |
97469 |
35 |
4 |
54929 |
6900 |
18514 |
145 |
|
2 |
Not Married |
97912 |
49 |
1 |
55704 |
6937 |
18619 |
152 |
|
3 |
Not Married |
96697 |
49 |
2 |
56453 |
6971 |
18520 |
136 |
|
4 |
Not Married |
96653 |
51 |
4 |
56488 |
6943 |
18838 |
124 |
|
5 |
Not Married |
96664 |
53 |
3 |
55558 |
7051 |
18502 |
168 |
|
6 |
Not Married |
95744 |
52 |
4 |
55963 |
7040 |
18435 |
146 |
|
7 |
Not Married |
94929 |
59 |
2 |
55247 |
6948 |
18483 |
133 |
|
8 |
Not Married |
96928 |
43 |
3 |
55932 |
6953 |
18701 |
145 |
|
9 |
Not Married |
97681 |
53 |
4 |
56124 |
7097 |
18676 |
134 |
|
10 |
Not Married |
96244 |
56 |
4 |
56051 |
7073 |
18484 |
141 |
|
11 |
Not Married |
96886 |
44 |
2 |
55321 |
6982 |
18312 |
153 |
|
12 |
Not Married |
96727 |
39 |
2 |
56440 |
7051 |
18376 |
120 |
|
13 |
Not Married |
96690 |
57 |
2 |
56097 |
6822 |
18334 |
135 |
|
14 |
Not Married |
96572 |
59 |
2 |
56515 |
7179 |
18648 |
123 |
|
15 |
Not Married |
98717 |
40 |
3 |
56393 |
7036 |
18389 |
114 |
|
16 |
Married |
106292 |
57 |
4 |
82299 |
10983 |
23063 |
132 |
|
17 |
Married |
95801 |
54 |
3 |
73798 |
9395 |
23155 |
151 |
|
18 |
Married |
95385 |
50 |
4 |
74110 |
9101 |
22847 |
211 |
|
19 |
Married |
95865 |
46 |
1 |
74789 |
9321 |
22621 |
168 |
|
20 |
Married |
109312 |
37 |
6 |
80801 |
10564 |
25392 |
58 |
|
21 |
Married |
114051 |
42 |
5 |
84486 |
10820 |
25728 |
167 |
|
22 |
Married |
110651 |
58 |
4 |
83766 |
11226 |
22899 |
113 |
|
23 |
Married |
107338 |
67 |
2 |
83651 |
11710 |
21893 |
47 |
|
24 |
Married |
101829 |
45 |
4 |
82385 |
10821 |
22409 |
121 |
|
25 |
Married |
102244 |
34 |
4 |
74687 |
8735 |
27964 |
60 |
|
26 |
Married |
113558 |
31 |
5 |
79861 |
10346 |
25006 |
141 |
|
27 |
Married |
100947 |
35 |
4 |
73973 |
8455 |
26783 |
36 |
|
28 |
Married |
107369 |
66 |
2 |
83441 |
11724 |
23174 |
82 |
|
29 |
Married |
106894 |
51 |
5 |
81585 |
11360 |
22396 |
162 |
|
30 |
Married |
97769 |
47 |
5 |
73950 |
9035 |
22867 |
202 |
|
31 |
Married |
98885 |
45 |
4 |
57795 |
9653 |
23400 |
152 |