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Surname 1 Name Supervisor Course Data Dataset: Consumer food Identification Annual food spending, annual household income, and non-mortgage household debt are all quantitative data as they can be quantified and measured. The data in the three columns also can be manipulated using mathematical methods to yield desired results. However, the region and location are qualitative data as they are subjective in nature. For instance, region 1 and region 4 have no difference in terms distance or any other quantifiable measure, the number are merely assigned for identification (Weiss). The qualitative datasets are not amenable to mathematical manipulations as they cannot be measured. Level of measurement The consumer food dataset employs two levels of measurement; nominal scales and interval scales. For instance, the region and location are merely categorized for identification and therefore embody the nominal level of measurement. The data does not imply any ordering and as such a location 2 does not in any way come ahead of location 1 and so applies to regions. In
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  • Spring '15
  • Standard Deviation, Mean, Household income in the United States, Level of measurement

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Christopher Reinemann
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