Background Objectives: Three To Four Sentences

Background Three To Four Sentencesobjectives List Objectives Of

Background – Three to four sentences Objectives – List objective(s) of the project in “bullets” format · Objective 1 · Objective 2 · Objective 3 · And so on. Type of data that will be collected (two to three sentences) Source of data (one to two sentences) Types of statistical analysis that will be conducted to analyze the data (four to five sentences) . At minimum five of these types of analysis should be included in this section of the research report. Keep this requirement in mind, as you define the topic and scope of your research project and submit your research project problem statement for approval. Any problem statement that do not include minimum of five types of statistical analysis methods to analyze the data will not be approved and will be asked to be revised before it gets approved.

This requirement should also be taken under consideration as research project data is being considered for collection. What you expect to find related to the objective(s) of the project (one or two sentences) Research Report Grading and Instructions: Please set up the research project report with these 5 topic headings and double-spaced at least, with 12-14 font size. The written portion of the paper should include the following criteria and will be graded accordingly. Criteria Description and Instructions Points Available 1. Problem Statement A statement of the problem including a rationale for the study. · If your research project topic/scope is not approved by end of week #4, your group/you will lose 5 points .

This implies that when the final research project report is graded, the maximum credit for the problem statement is fifteen points. · If your research project topic/scope is not completely defined and approved by end of week #5, you will lose ten points out of 20 . · If your research project topic/scope is not approved by end of week #6, no points will be awarded for this section of the report . Background Information Identify the history of the problem, relevant secondary research, etc., through a review of literature (called literature review). · Research articles may be found in the Walsh Library, Internet, and other libraries that you have access to. · You must review a minimum of SIX articles or publications, other than the required course textbook. · This section is worth ten points. · By end of week #6 , the results of your literature search should be summarized and submitted. · The summary report status should list each reference and provide a one or two sentence description of the relevance of the reference material to the research project topic. · Any late submission of summary status report beyond end of week #6 results in losing 5 points .

This implies that at the end of the semester, when the research report is being graded, the maximum points earned for this section is would be 5 points. . Description of Methodology Address how you collected your data. (i.e., experimental design) . Statistical Analysis Demonstrate an in-depth understanding of the application of statistical analysis learned in this course. · Include print-outs in appendix. · At a minimum, five of types of analysis should be included. · Throughout the semester, different types of statistical analysis tools are discussed. For example: confidence interval for one population parameter (population mean and population proportion), confidence interval for difference between parameters (means/proportion) of two populations, test of hypothesis for one population mean/proportion, test of hypothesis comparing two population means/proportions, Analysis of Variance (ANOVA), Factorial Design of Experiment, Randomized Block Design of Experiment, goodness of fit test, test of independence, regression analysis, correlation analysis, and etc. · Keep this requirement in mind, when defining the scope and topic of your research project and submitting your research project problem statement for approval. · Any problem statement that does not include a minimum of five types of statistical analysis methods to analyze the data will not be approved, and you will be asked to be revised before it gets approved.

This requirement should also be taken under consideration as research project data is being considered for collection. · Meeting the minimum requirements, typically, results in an average grade. Excellent research project grade requires quality research work. . Conclusions Explain the decisions drawn from your statistical interpretations, the ramifications of your research, and recommendations for the future. 20 TOTAL POINTS 100

Paper For Above instruction

The successful execution of a research project relies heavily on a well-structured framework encompassing clearly defined objectives, comprehensive literature review, precise methodology, rigorous statistical analysis, and insightful conclusions. This paper presents a detailed research proposal focusing on these key areas, emphasizing the importance of each component in producing valid and reliable results.

The project begins with a succinct background consisting of three to four sentences that identify the problem context, significance, and preliminary observations. Clear objectives, articulated in bullet points, specify what the research aims to achieve, such as evaluating a particular hypothesis, understanding relationships among variables, or assessing the impact of interventions. The description of data collection methods follows, including the types of data to be gathered—quantitative or qualitative—and their sources, whether primary data from surveys or experiments or secondary data from existing databases.

Crucially, the statistical analysis section demands a nuanced understanding of advanced techniques. At least five different types of analysis—such as confidence intervals, hypothesis tests, ANOVA, regression analysis, and chi-square tests—must be explicitly identified to demonstrate methodological rigor. Each analysis should be justified concerning the research questions and data characteristics. For example, confidence intervals can estimate the precision of population parameters, while ANOVA assesses group differences, and regression explores predictive relationships.

The researcher also hypothesizes what findings might emerge, aligning expectations with the objectives. For instance, one might anticipate discovering significant differences among groups or strong correlations between variables. These expectations guide the interpretation of results and subsequent discussions.

The report structure mandates five core sections: problem statement, background literature review, methodology, statistical analysis, and conclusions. Each section must be presented with clarity, double-spaced, using a 12-14 point font, reflecting academic standards. The problem statement should rationalize the study’s necessity, referencing gaps identified through literature. The background literature review must synthesize at least six reputable sources, summarizing each's relevance to the research topic.

Methodology should detail the experimental or observational design, sampling procedures, and data collection instruments. The statistical analysis section requires demonstration of proficiency in diverse analytical tools, emphasizing the application and interpretation of each method, supported by appendices containing analysis print-outs.

Finally, conclusions must interpret statistical findings, discuss implications, limitations, and offer recommendations for future research. A comprehensive, well-substantiated report adhering to these guidelines is essential for academic success.

References

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