using the dataset find for the following: 1. Confidence Interval Analysis:For housing 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:

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:

STAT200 Introduction to Statistics 38482 21182 53100 20 WELLGO Dataset for Written Assignments $3020 8032 83282 39380 zeS Description of Dataset: 7013 The data is a random sample from the US Department of Labor's 2016 Consumer Expenditure Surveys (CE) and provides information about the 30 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). (85382 TORST 408 301338 31889 Description of Variables/Data Dictionary: 28 B3380 53880 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 to Each responder has a unique STT responder $3328 number from 1-30 SE-MaritalStatus Second Column Marital Status of Head of Household Not Married/Married JBS 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 Number of People in Family 192 MOR ISLUGG and Children) 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 2283 Amount in US Dollars Transportation 133 elaea 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. 18250 130 MOF WALLISH 22vod 38910 alved 32 18278 In2D-HoopURSE-FamilySize USD-AnnualExpenditures USD-Housing USD-Transport UniquelD# SE-MaritalStatus SE-Income SE-AgeHeadHousehold USD-Food Not Married 97469 35 54929 6900 18514 145 Not Married 97912 49 55704 5937 18619 152 WN 96697 49 2 56453 6971 18520 136 Not Married 96653 51 4 56488 18838 124 Not Married 6943 Not Married 96664 53 3 55558 7051 18502 168 95744 52 4 55963 7040 18435 146 Not Married Not Married 94929 59 2 55247 6948 18483 133 Not Married 96928 43 3 55932 6953 nan 18701 145 97681 53 56124 7097 18676 134 Not Married 96244 56051 18484 141 10 Not Married 56 7073 11 Not Married 96886 44 55321 6982 18312 153 NNNNAS 96727 39 56440 7051 120 12 Not Married 18376 13 Not Married 96690 57 56097 6822 18334 135 14 Not Married 96572 59 56515 7179 18648 123 15 Not Married 98717 40 56393 7036 18389 114 16 Married 106292 57 82299 10983 23063 132 17 Married 95801 54 73798 9395 23155 151 Married 9101 211 18 95385 50 74110 22847 OH AW 19 Married 95865 46 74789 9321 22621 168 20 109312 37 80801 10564 25392 58 Married 21 Married 114051 42 84486 10820 25728 167 22 Married 110651 58 83766 11226 22899 113 23 Married 107338 67 83651 11710 21893 47 24 101829 45 82385 10821 22409 121 Married 25 102244 74687 8735 60 Married 34 27964 UNAUSANA 141 26 Married 113558 31 79861 10346 25006 100947 35 73973 8455 26783 36 27 Married 107369 23174 82 28 Married 66 83441 11724 106894 51 81585 11360 22396 162 29 Married UT 30 Married 97769 47 73950 9035 22867 202 31 Married 98885 45 4 57795 9653 23400 152