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Analysis of the winning Party Popular and Electoral vote in Vermont versus the USA winning Party Popular and Electoral vote in presidential elections

Instructions below: 

THEME: Analysis of the winning Party Popular and Electoral vote in Vermont versus the
USA winning Party Popular and Electoral vote in presidential elections.
This activity is conducted over the Module 1 Week || (
VIII mini) and includes: a) Theme definition b)
Preliminary search for main information to validate the theme, using Microsoft copilot. This is
what is evaluated as Project submission in Module Assessment Score 1, as per the system of
evaluation.
Data Collection: collect meaningful raw data according to the principles explained in class. Size
must be according to the case, maintaining the principle that data must be as representative as
possible of the population under analysis, follow principles explained in chapter 1, about
necessary sample size. Using data from the office of the Census website, or the Department of
Labor Statistics, or the Department of Health, the CIA World Fact book websites, The Bureau of
Economic Analysis, The United Nations, and the corresponding organizations that poll the
population of different countries. Consult Dr. Bestard’s Assignment – Mathematics – Library
Resources for Students – LibGuides at Miami Dade College Learning Resources
(mdc.edu)Links to an external site.and /or Online Weather Center, powered by Earth Networks
Links to an external site.. If the project is developed in reference to the comparison of two
populations with respect to a specific variable, collect the corresponding evolution of the
structure of the population in each group (gender and ethnicity) and the average family income,
for example to dispose the circumstances where the comparison takes place. You may also be
supported by the Learning Resources at

services/Links to an external site..
While by the end of WEEK VI (week IX mini)you will submit the well-structured results found in
the research of data collection in an email sent to my mdc.edu account. If necessary, plan a
meeting with the professor to interchange info and details in the progress. Continue and
complete the data collection and show your progress in that topic compared to the first checkup
you did in the past Week V.
Present data collection and discussion of bias and the sources used to collect data
Produce the stem and leaf for the main quantitative variable; histogram and box plots; bar graph
for collateral categorical variable. Write the discussion of the displays to present as descriptive
statistics evidence, based on the five characteristics of data (center, variability and shape of
distribution, presence of outliers and evolution of data. Present the descriptors panel with a
statement analyzing every descriptor.
in addition to the previous, Assess the presence of outliers always using several methods:
fences, Z-scores and probability. Write the discussion of the presence of outliers
Present the Normality Test and the Chi-Square Goodness of fit, that verifies the validity of the
sample data with respect to the population. Write the discussion of such tests.
Produce Chi-square tests to state inferential criteria test independence and /or goodness of fit
for qualitative variables, explain the rationale for selecting hypotheses and significance level, as
well as the conclusion and interpretation, intended to assist in describing the targeted
population.
Explain the normality of data using technology (using technology as a summary of the other
remaining descriptive methods). Then for the quantitative variables, explain the rationale for

selecting hypotheses and significance level, as well as the conclusion and interpretation,
intended to assist in describing the
targeted population.
Explain the normality of data using technology (using technology as a summary of the other
remaining descriptive methods). Then for the quantitative variables use stem and leaf displays,
box plots and histograms, to facilitate the explanation of the characteristics of each variable,
according to examples conducted in class.

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