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 52 years old, has an annual household income of $95,744, a family size of 4, annual expenditures of $55,963, and spends $7,040 on food, $105 on entertainment, and $340 on education.
| UniqueID# | SE-MaritalStatus | SE-Income | SE-AgeHeadHousehold | SE-FamilySize | USD-AnnualExpenditures | USD-Food | USD-Entertainment | USD-Education |
| 1 | Not Married | 95744 | 52 | 4 | 55963 | 7040 | 105 | 340 |
| 2 | Not Married | 95432 | 51 | 1 | 55120 | 7089 | 84 | 274 |
| 3 | Not Married | 96727 | 39 | 2 | 56440 | 7051 | 93 | 222 |
| 4 | Not Married | 96621 | 54 | 2 | 55746 | 7000 | 106 | 322 |
| 5 | Not Married | 96572 | 59 | 2 | 56515 | 7179 | 95 | 349 |
| 6 | Not Married | 98717 | 40 | 3 | 56393 | 7036 | 106 | 213 |
| 7 | Not Married | 96697 | 49 | 2 | 56453 | 6971 | 86 | 186 |
| 8 | Not Married | 96653 | 51 | 4 | 56488 | 6943 | 90 | 212 |
| 9 | Not Married | 97912 | 49 | 1 | 55704 | 6937 | 97 | 277 |
| 10 | Not Married | 96928 | 43 | 3 | 55932 | 6953 | 105 | 273 |
| 11 | Not Married | 96244 | 56 | 4 | 56051 | 7073 | 114 | 261 |
| 12 | Not Married | 97681 | 53 | 4 | 56124 | 7097 | 108 | 263 |
| 13 | Not Married | 96522 | 43 | 4 | 56152 | 6991 | 101 | 237 |
| 14 | Not Married | 95366 | 48 | 2 | 57082 | 7130 | 90 | 305 |
| 15 | Not Married | 94867 | 60 | 1 | 55512 | 6935 | 87 | 272 |
| 16 | Married | 108781 | 52 | 5 | 83231 | 11795 | 178 | 689 |
| 17 | Married | 95706 | 52 | 4 | 71597 | 8925 | 121 | 475 |
| 18 | Married | 106627 | 56 | 3 | 82676 | 10363 | 179 | 794 |
| 19 | Married | 97303 | 27 | 4 | 76134 | 8634 | 22 | 16 |
| 20 | Married | 97663 | 51 | 3 | 72971 | 9294 | 108 | 454 |
| 21 | Married | 100947 | 35 | 4 | 73973 | 8455 | 96 | 2 |
| 22 | Married | 100837 | 42 | 5 | 73849 | 8633 | 209 | 53 |
| 23 | Married | 93901 | 43 | 2 | 74254 | 9157 | 132 | 468 |
| 24 | Married | 100964 | 28 | 2 | 77744 | 9397 | 174 | 11 |
| 25 | Married | 95385 | 50 | 4 | 74110 | 9101 | 119 | 454 |
| 26 | Married | 95994 | 55 | 4 | 73404 | 9231 | 150 | 468 |
| 27 | Married | 103144 | 29 | 5 | 75393 | 8902 | 163 | 36 |
| 28 | Married | 111478 | 29 | 5 | 82699 | 10740 | 82 | 334 |
| 29 | Married | 95865 | 46 | 1 | 74789 | 9321 | 133 | 478 |
| 30 | Married | 114932 | 44 | 5 | 81186 | 11077 | 80 | 111 |