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Use the following instructions and the uploaded (attached) files. Data Analysis

by | Nov 23, 2021 | Healthcare | 0 comments

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Use the following instructions and the uploaded (attached) files.
Data
Analysis
Project Report:
Use the dataset (text/csv) from the following link: https://healthdata.gov/dataset/Behavioral-Risk-Factor-Data-Tobacco-Use-2011-to-pr/4d4i-x56m
a.
Sort (filter) the dataset into 5 observations or 5 columns: column 1=Year; column 2= Location (every
state); column 3=Response (Current Smokers; Former Smokers; Some Days Smokers;
and Never Smoked; column 4= Percentage; and column 5= Gender (Overall). Column
1 is A, column 2 is C, column 3 is H, column 4 is J, and column 5 is R.
b.
Create a scatter plot with each category of smokers (Current
smokers, Former smokers, Some day Smokers, and Never Smokers)
c.
Use Rstudio to plot a histogram with X axis being the 4
categories of smokers and Y axis being the years between 2011 thru 2019.
d.
The final report is expected to be written in the style of an
academic paper. The report must include an abstract, introduction (or
motivation), related work, methodology, results, discussion, and references. There
is no page limit or page minimum, but the final report is expected to
adequately summarize the results of the semester-long project. The use of
academic style templates is encouraged but not required. Citations must be in a
legible and consistent format (MLA, APA, IEEE, etc.).
e.
Statistical analysis for this project will include both
descriptive and inferential analysis thus:
f.
Descriptive: Describe the features of the data and summarize it in a
rational way. This could include graphs, tables, charts, etc. This analysis
describes the data and does not make any conclusions.
g.
Inferential: This allows us to make some conclusions, e.g., trends,
correlations, t-test, etc.
h.
Extra credit will be given for creating a predictive model based on your
data.

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