STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup
Identifying Information
Student Name: James Shadle
Class: STATS200
Instructor: Professor Tanali
Date: 7 Oct 2018
Introduction:
This scenario is a 51-year-old male, not married with a family size of one.
Table 1. Variables Selected for the Analysis
Variable Name in the Data Set Description Type of Variable
Variable 1: Income $95,432 Quantitative
Variable 2: Marital Status Not Married Qualitative
Variable 3: Family Size 1 Quantitative
Variable 4: Annual Expenditures $55,120 Quantitative
Variable 5: Housing Costs $18,391 Quantitative
Data Set Description and Method Used for Analysis:
The data set is part of a larger data set which 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).
Results:
Variable 1: Income
Numerical Summary.
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup
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, Table 2. Descriptive Analysis for Variable 1
Variable n Measure(s) of Central Tendency Measure(s) of Dispersion
Variable: Income 1 Median= $96,907 SD = $6402.22
Description of Findings.
The histogram shows a significant gap in annual income between $102,000-$109,000 per year.
Most of the people surveyed fall between $94,000-$102,000 with the median at $96,907 annually.
Variable 2: Marital Status
Numerical Summary.
Table 3. Descriptive Analysis for Variable 2
Variable n Measure(s) of Central Tendency Measure(s) of Dispersion
Variable: 2 50/50 n/a
STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup
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