Inferential Statistics Data Analysis Plan and Computation

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STAT200aDataset211471.doc

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