This activity is conducted over the Module 1 Week II ( 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 NetworksLinks 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 https://www.mdc.edu/learning-resources/research-tools-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 IV.
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 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.