A survey was conducted to analyze the debt of individuals in the United States. A researcher obtained this secondary data and ran Chi-Square and Crosstabulation analyses to determine if people who defaulted on loans is associated the level of education they completed. Additionally, the researcher wanted to determine which education level(s) are more likely to default on a loan. The results of his analyses are provided below.
Write the Results section of the paper and present the results using appropriate APA-formatted tables and figures. Include one research question and one set of an aligned null and alternative hypothesis to address the research goals outlined above. Follow all APA conventions and include the proper APA statistical notation. A clustered bar chart comparing the number of people who defaulted or did not default on a loan, for each education level, is included to help the reader visualized the data and should be included in your paper as an APA-formatted figure.
Please refer to the tables below:
Analyze quantitative data using descriptive and inferential techniques and interpret findings.
Describe the nomenclature associated with quantitative methods.
Design valid & reliable survey items and scales for capturing quantitative data.
Develop basic proficiency in the development of research strategy and design of quantitative studies.
Explore issues of measurement, reliability, validity and sampling for quantitative methods.
Utilize tools (e.g. SPSS) to aid in the analysis of quantitative data. (500-1,000 words with 5-10 references and cited page)