The project is a term paper oriented in week VI and shows the integrative results of an individual research by collecting, organizing, displaying and understanding data. The project provides a final report in writing (a technical essay, either in APA or in ML) about the characteristics of data in both, the descriptive and the inferential procedures and conclusions about the data collected in terms of the targeted population, using quantitative and qualitative facts via the exploratory data analysis method
Topic :Average taxable income of Americans during the last 50 years.
PROCEDURE:
a) Collect meaningful raw data, according to the principles explained in Chapter 1 in two – three quantitative variables and two –three qualitative variables, related to the theme.
b) Sample Size must be according to guidelines, given and following further principles in chapter 7, about necessary sample size.
c) Use data from the office of the Census website, Wolfram Alpha search engine, Google, MDC Fl state databases, the Department of Labor Statistics, the Department of Health, the CIA World Fact book websites, the lib guides for math and stat at MDC Learning Resources and the corresponding organizations that poll the population of different countries.
d) Produce real data collection, using sampling techniques as per Chapter 1 principles in your domain. Imperative the input of collected data in software worksheets, and the mastery of the main procedures as explained in class.
e) 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 declare the circumstances where the comparison takes place.
f) Complete written report to discuss, using EDA for the five characteristics of data described in Chapters 2 and 3: full descriptors panel in MINITAB, Stem and leaf plots, Box plots, Normality test as in 6.5, Chi – Sq test of Goodness of fit and Chi- Sq test of Independence using MINITAB as in 11.1, 11.2) Correlation -Regression between two variables as 2.4 in MINITAB. Use Control charts for incorporate the analysis of outliers together the fences and Z-scores tools
(THE PREVIOUS POINTS ARE THE MAIN COURSE FOR PROJECT CHECK 1, IN EARLY WEEK VIII Submission by FEB 24, 2021, 11:59 PM via attachment to email)
Be able to document with several technical statistical arguments your data collection, explaining the sample technique that you used proficiently, identify sources of bias, and get along with the literature that may have provided information for the method of data collection. During the Week VI the lecture sessions are showing examples of previous projects and the execution of the different components
The data collection for the project is on the attachment file, is already created.
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