Assignment 1_SolomonL

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Statistics

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Apr 3, 2024

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University of Maryland Global Campus STAT 200-assignment #1: Descriptive Statistics Data Analysis Plan Letticia Solomon STAT 200 6980 Professor Feinstein June 30, 2020 Scenario: I will be taking a look at a 35-year-old single family homes with children and making the comparison to married family homes with children. I want to determine how much they both have to contribute to annual expenditures on average to see if marital status plays a role in the increase or decrease of what a family can expend on. Table 1. Variables Selected for the Analysis Variable Name in Data Set Description Type of Variable Variable 1: Marital Status Marital Status of Head of Household Qualitative Variable 2: Income Annual Household Income Quantitative Variable 3: Annual Expenditures Annual Household Income Quantitative Variable 4: Family size Total Number of People in Family (Both Adults and Children) Quantitative Variable 5: Housing Total Amount of Annual Expenditure on Housing Quantitative Reasons for Selecting Variables and Expected Outcomes: Variable 1: Marital Status. The marital status can determine if a household has dual income and more contribution towards family expenses. Variable 2: Income. This variable is the most important because it is the baseline for the families having a quality of life. Variable 3: Annual Expenditures. This variable is what families spend money on outside of the necessities such as food, transportation and housing.

Variable 4: Family Size. Family size has an influence on how much income goes towards each expenditure and what can possibly be left over. Variable 5: Housing. Housing is an important factor since this study is based on households. Housing is a necessity. Proposed Data Analysis: Measures of Central Tendency and Dispersion Table 2. Numerical Summaries of the Selected Variables Variable Name Measures of Central Tendency and Dispersion Rationale for Why Appropriate Variable 1: Marital Status  Mode 1. This is Qualitative data of 1 of 2 choices and the mode will determine which has the biggest population. Variable 2: Income  Median  Standard Deviation  Population numbers 1. The median will split the data in half and eliminate the dispersion of the populations numbers that using a mean can cause. 2. Standard deviation will tell me how much of a dispersion occurs Variable 3: Annual Expenditures  Mean  Standard Deviation 1. The mean is useful for numbers that are close together. 2. The sample standard deviation will measure the closeness to the average. Variable 4: Family Size  Mean  Standard Deviation 1. The mean is useful for numbers that are close together. 2. The sample standard

deviation will measure the closeness to the average. Variable 5: Housing  Mean  Standard Deviation 1. The mean is useful for numbers that are close together. 2. The sample standard deviation will measure the closeness to the average. Graphs and/or Tables Table 3. Type of Graphs and/or Tables for Selected Variables Variable Name Graph and/or Table Rationale for Why Appropriate Variable 1: Marital Status Graph: Pie Chart A pie chart best displays proportional data Variable 2: Income Graph: Histogram The data is quantitative, and a histogram best displays data broken down into classes. Variable 3: Annual Expenditures Graph: Histogram The data is quantitative, and a histogram best displays data broken down into classes. Variable 4: Family Size Graph: Histogram The data is quantitative, and a histogram best displays data broken down into classes. Variable 5: Housing Graph: Histogram The data is quantitative, and a histogram best displays data broken down into classes.

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