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Assignment #3: Inferential Statistics Analysis and WriteupIdentifying InformationStudent (Full Name):Class:Instructor:Date:Part A: Inferential Statistics Data Analysis Plan and ComputationIntroduction:The scenario submitted for Assignment 2 involved a 40 year old male who is the main earning memberof a family and who was a participant in the survey. The family consists of the participant, his wife, andhis two children, a boy and a girl. A brief description of the variables used in this analysis is shown inTable 1 below.The data set consists of information from a randomly drawn sample of 30 participants. Allinformation is self-reported. For each participant, corresponding to one household, informationon income levels, age of the head of the household, expenditure on food and otherdemographic and expense related information has been recorded.All data analysis was done in Excel using the data analysis tool pack.Variables Selected:Table 1: Variables Selected for AnalysisVariable Name in theData SetVariable TypeDescriptionQualitative orQuantitativeVariable 1: “SE-MaritalStatus”SocioeconomicMarital status of the head of thehouseholdQualitativeVariable 2: USD-FoodExpenditureTotal Amount of AnnualExpenditures on FoodQuantitativeVariable 3: USD-FruitsExpenditureTotal Amount of AnnualExpenditures on FoodQuantitativeData Analysis:1.Confidence Interval Analysis:For one expenditure variable, select and run the appropriate methodfor estimating a parameter, based on a statistic (i.e., confidence interval method) and complete thefollowing table (Note: Format follows Kozak outline):STAT200: Assignment #3 - Inferential Statistics Analysisand WriteupPage 1 of 4
Table 2: Confidence Interval Information and ResultsName of Variable: USD-FoodState the Random Variable and Parameter in Words:The random variable is the total amount ofexpenditure on food on an annual basis. The parameter is the mean annual expense on food for thepopulation.Confidence interval method including confidence level and rationale for using it:A parameter (or avalue of the population) can be estimated using the confidence interval method, which is essentiallyan estimate or a probable range of values based on the point estimate of the corresponding sample