MAS224: Biostatistical Methods and Analysis - Statistics Assignment Help

Assignment Task:

The MAS224 project must be from one of the following topics. For each topic, several primary research questions are broached. In some cases, it may be that you are not able to answer these questions directly with the data provided, but you may be able to answer questions that are similar to the posed questions that still maintain the focus of the original research questions. You are encouraged to also consider additional potentially relevant questions. These would most likely be motivated by some type of exploratory analysis. While this is a data analysis project and not a research project (i.e., you are not expected to do any investigation of the particular topic), you should imagine that this report is being written for publication, so the style of the paper should reflect that degree of formality (e.g., the informal ‘I’ is replaced with the formal [singular] “we”). The paper must not exceed 10 pages in length and should include the following sections: 

1. Introduction: provides background to the research, clearly lays out the research questions of interest, and motivates why these questions are of interest. This section should also briefly describe any additional questions that you will address and exploratory analyses that will be carried out. 

2. Methods and Analysis: provides a description of the data and the statistical analyses that will be performed. If a linear/logistic regression is to be carried out, this section should provide an explanation of and motivation for the variables you have included in your model. This section should also include descriptive statistics (statistics, tables, graphs) that are useful in describing the data and providing a glimpse of what you might expect from your statistical analyses. A good deal of thought should go into your descriptive statistics, as these must clearly show some relevance to your questions of interest, and you must explain what you can derive from these. 

3. Results: provides a thorough description of the results of the analyses you described in the previous section. Include tables with relevant output. If analyses are carried out that involve the estimation of parameters, this should include an interpretation of the parameters for the variables of interest. Any requirements/assumptions needed to perform the analyses carried out must be addressed. Additionally, if outliers are present, you may want to determine whether or not the results change by removing these outliers. Finally, remember that even if a result is statistically significant, this does not always mean that it is practically significant. 

4. Discussion: concisely summarizes your conclusions to the research questions of interest as well as any supplementary analyses carried out. This section also should include a brief description of the limitations of your analyses as well as other research questions that may be worth exploring in response to any exploratory analyses you have carried out. 

5. R code (not included in the 10 page limit!): your R script file, appropriately named and tested. It should be able to be run error-free from start to finish and should include all R code used to produce your results.

This MAS224: Statistics Assignment has been solved by our Statistics Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.

Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.