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Hypothetical Research Incorporating Binomial Distribution Analysis

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HYPOTHETICAL RESEARCH INCORPORATING BINOMIAL DISTRIBUTION
DATA SUPPLIED THROUGH NCVS CRIME DATA SYSTEM AND ANALYSIS OF
CRITICAL VISUAL OPTIONS AND RELATIVE EFFICACY OF BINOMIAL
RESEARCH
The following table enumerates national homicide rates based upon a binomial
relationship between; gender and age. This analysis examines the efficacy of
numerical data and its relationship to visual data representations as an adjunct to
understanding the relational data in a viable visual presentation. Alternative visual
representations are provided for discussion purposes and no opinion is rendered
on the value of the different presentations other than to suggest the most viable
presentation for the subject material. The use of administrative records (Prell; et
al; 2009) are useful in the creation of national or state binomial data sets. Data
sharing agreements between multiple federal and state agencies serves to
provide the most accurate data available. The integrity of a national data-set
acquisition as the basis for a pivotal binomial data collection effort is critical in
that is will act as the beginning point spurring additional focused studies based
upon the initial broad binomial report (Prell; et al.; 2009). The broad scale of
inference adopted from a national binomial survey must be accurate to instigate
further research.
Base numerical data is provided in a format enunciating overall homicides by
gender and year for 2012 and 2013. An analysis of this type of national data is

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difficult without the presentation of a visual aid, via charts, graphs, etc. to allow
for a single look interpretation of the raw data. The binomial presentation of
homicide by gender and age seems straightforward. To convert this data into a
visual format, re-classification of data to incorporate axial analysis is necessary
and reformatting that information to project charts and graphs is required.
The first rendition of multiple pie charts, encompassing all details of the empirical
data, creates an unwieldy snapshot requiring multiple focus points to relate
numerical data to graphical visual interpretations. This visual aid is more
confusing than the raw numerical data.
The second rendition is more understandable in that it eliminates the need to
review cumbersome numerical data to understand the graphic. The graphic itself
is confusing and difficult to use as an identifier of a potential research project.
The third iteration, a bar chart, I the clearest rendition of numerical to visual
interpretation. It allows for a single visual snapshot of details, without distraction,
to analyze the binomial aspects of the numerical data.
The large pie chart depiction, usually useful in visual understanding of a concept,
is crowded with information and difficult to interpret.

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HYPOTHETICAL RESEARCH INCORPORATING BINOMIAL DISTRIBUTION DATA SUPPLIED THROUGH NCVS CRIME DATA SYSTEM AND ANALYSIS OF CRITICAL VISUAL OPTIONS AND RELATIVE EFFICACY OF BINOMIAL RESEARCH The following table enumerates national homicide rates based upon a binomial relationship between; gender and age. This analysis examines the efficacy of numerical data and its relationship to visual data representations as an adjunct to understanding the relational data in a viable visual presentation. Alternative visual representations are provided for discussion purposes and no opinion is rendered on the value of the different presentations other than to suggest the most viable presentation for the subject material. The use of administrative records (Prell; et al; 2009) are useful in the creation of national or state binomial data sets. Data sharing agreements between multiple federal and state agencies serves to provide the most accurate data available. The integrity of a national data -set acquisition as the basis for a pivotal binomial data collection effort is critical in that is will act as the beginning point spurring additional focused studies based upon the initial broad binomial report (Prell; et al.; 2009). The broad scale of inference adopted from a national binomial survey must be accurate to instigate further research. Base numerical data is provided in a format enunciating overall homicides by gender and year for 2012 and 2013. An analysis of this type of national data is d ...
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