The Following is the project outline that will guide your activity in the data analysis. Please use all our supportive services including my office hours and always you will work with the two states.
The project is a term paper oriented in week III and shows the integrative result of an individual research collecting data, organizing data, displaying data and understanding data by writing an essay using quantitative and qualitative fact analysis.
Data Collection: collect meaningful raw data according to the principles explained in chapter 1 in two – three quantitative variables and two –three qualitative variables. Size must be according to guidelines in chapter 7 about necessary sample size. Using data from the office of the Census in reference to the two states you selected, collect the state monthly un-employment rate in the last 25 years, the corresponding evolution of the structure of the population in each state (gender and ethnicity) and the average family income
Produce Chi-square tests to state inferential criteria for 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 of the test, that is intended to assist in describing the targeted population.
Data Organizing and Data Display: Produce customs side by side stem and leaf displays; Frequency distribution Table; Side by Side Relative Frequency Polygons; Side by Side Box plots; Bar Graphs for the variables involved in the study( Use same intervals in all the displays for each of the quantitative variables.
Produce Normality Tests for the quantitative variables, explain the rationale for selecting hypotheses and significance level, as well as the conclusion and interpretation of the test, the full Descriptive Statistics( use MINITAB), Control Chart for each variable, Time Series, to assess presence of outliers and evolution in time. Detail the incidents during data collection that are observed in the displays and produce substantive interpretation of trends.
Data Understanding: Produce Confidence Intervals, for the Mean, the Proportion (as appropriate) and the Variance. Develop Hypotheses tests to test one population Parameter and the difference of Means or Proportions.
Develop the Correlation- Regression analysis for the association predictor response of two variables in the study or conduct ANOVA.
Written Essay: Must contain explanatory statements about the five characteristics of data involving the triangulation of supportive arguments.
The Report is an academic term paper that is structured in Title; Author; Abstract; Introduction; (following the previous explanations in the above paragraphs)methods, results, conclusions and bibliographic references
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