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Owner: kroman28
Created: Sep 27, 2010
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Project1_KatieRoman Gender Factors to Determine Debt
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The data in this report was recorded from Mr. Sullivan's (Joliet Junior College) Fall 2010 survey. The survey included  287 random respondents. The total hours worked is based in a week time frame, while the debt is based on the individuals debt current to todays date. This report tries to find the varying factors between men and women that corresponds to their total amount of debt. The overall goal is to determine if gender plays a role in debt.

The first data set (Scatter Plot) analyzes the relation between debt and number of credit cards owned. The pie charts shows that the number of credit cards do not greatly impact the amount of debt. A majority of the people who have credit card debt only have two or three credit cards. Therefore the number of credit cards owned can not be a determining factor of debt. Other factors that could affect these result and are not included are marital status, income, and living costs. Oddly enough the graph shows that individuals with more credit cards have less debt.

<result#1>

The next graph show a correlation between gender and credit card debit. Womens debt is slightly higher averaging $150,000 more than that of men. Lurking values could be martial status, income, and basic need expenses.

<result#2>

The box plot shows the contrast of hours worked by men and women in regards to their total debt. The median indicated that men tend to work more per week than women do. The graph also shows that the amount of debt based on gender are similar, even though men tend to work more hours.

<result#3>

The last graph shows the relationship among women and men based on total of children in the household. Women tend to work less hours than men and a lurking value could be household priorities such a children. The number of children in a household does seem to affect the hours worked. Families with five or more children tend to work less. Some lurking values could be the parents age (which was not included in this data set).  

<result#4>

It seems women tend to work less hours and obtain a higher total debt than men. The data also indicates that while women spend less time at work, they spend more time with other obligations such as children. The data shown does not show a great significant variance. So in other words it would be hard to prove that gender determines the amount of credit card any given person can obtain.

Result 1: Scatter Plot   [Info]
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Result 2: 2   [Info]
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Result 3: Boxplot Gender and Hours Worked   [Info]
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Result 4: Histogram 4   [Info]
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Result 5: Credit Card debt by Gender   [Info]
Summary statistics for Credit card debt:
Group by: Gender
Gender n Mean Variance Std. Dev. Median Range Min Max Q1 Q3
Female 93 2880.3733 3.0022356E7 5479.266 1000 30000 0 30000 0 3000
Male 71 2889.4817 4.1842176E7 6468.5527 13.2 30000 0 30000 0 2300

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=15986">Project1_KatieRoman Gender Factors to Determine Debt</A>

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By msullivan13803
Sep 27, 2010

Not sure what the results in the pie chart reflect. If you are trying to show a relation between number of credit cards and debt, we would need a scatter diagram. Or, you could draw a boxplot by number of credit cards. Would also help to see numerical summaries of debt (mean, median, and so on).

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