View the step-by-step solution to:

# SE-Age SE- Head SE- USD- Marital SE- House Family USD-Annual Hous USD- USD- Status Income hold Size Expenditures ing Electricity

Given the information below table two (The stats and the chart), fill out the information needed in the bullets for the housing variable only.

Confidence Interval Analysis: For the expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method) and complete the following table (Note: Format follows Kozak outline):

Table 2: Confidence Interval Information and Results

• Name of Variable: Housing Cost
• State the Random Variable and Parameter in Words:
• Confidence interval method including confidence level and rationale for using it:
• State and check the assumptions for confidence interval:
• Method Used to Analyze Data:
• Find the sample statistic and the confidence interval:
• Statistical Interpretation:

Variable - Housing

N= 30

Mean= \$21,684.87

Sample Standard Deviation= 3,463.40

SE-Age
SE-
SE-
USD-
Marital
SE-
House
Family
USD-Annual
Hous
USD-
USD-
Status
Income
hold
Size
Expenditures
ing
Electricity |Water
Not
186
Married
97681
53
A
56124
76
1468
551
Not
183
Married
96727
39
2
56440
76
1441
542
Not
183
Married
95432
51
55120
91
1458
548
Not
187
Married
96928
43
3
55932
01
1479
520
Not
184
Married
94929
59
2
55247
83
1451
546
Not
184
Married
95744
52
4
55963
35
1465
555
Not
185
Married
95366
48
2
57082
76
1478
538
Not
185
Married
96697
49
2
56453
20
1469
545
Not
186
Married
96572
59
2
56515
48
1480
552
Not
188
Married
96653
51
4
56488
38
1470
535
Not
185
Married
96664
53
55558
02
1478
553
Not
181
Married
96621
54
2
55746
49
1455
540
Not
183
Married
96886
44
2
55321
12
1450
523
Not
184
Married
96244
56
4
56051
84
1457
539
Not
186
Married
94867
60
55512
33
1485
523
265
Married
98351
34
3
76558
13
1342
547

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