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    'Rubbergate' House Banking Scandal Statistically Analyzed

    Number of Pages: 6

     

    Summary of the research paper:

    In six pages this paper examines how a Chi Squared hypothesis can be applied to a statistical analysis of 'Rubbergate,' or the House Banking Scandal. Two sources are listed in the bibliography.

    Name of Research Paper File: TS14_TErubgat.rtf

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    Unformatted Sample Text from the Research Paper:
    these was the House Banking Scandal, also known as Rubbergate. This was a scandal where there were members of congress using a banking service that would give them a form  of overdraft protection when they wrote personal cheques. This mane that members of the administration that had been voted in were seen as holding double standards, those who had voted  to make writing a cheque that bounced illegal, were themselves writing cheques that would have bounced had they not had this apparent protection. In effect they were writing fraudulent cheques  as they did not have the funds to meet those cheques. In reality this did not cost tax payers anything, nor did  it endanger the running of the country, but it did cause a scandal, and many question were asked which could only be answered in terms of statistical analysis. For  example, there was public interest to see if there were any patterns in relationship to this practice. It was a highly political issue, and the arguments would result in many  repercussion, such as which political party was mostly to blame, which would also be seen reflect on the morals of the party and the personal integrity of the politicians.  If we look at the data that was collected there were 146 sets of data collected, and they can be analysed in terms  of the data given, for example was it more prevalent in a particular political party, or where those that had served longer were greater culprits, even the area of the  country or the age of the politician could be seen as data that had been collected for analysis in seeking to find patterns. 

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