Module 1 - SLP OVERVIEW OF BIOSTATISTICS AND DESCRIPTIVE STATISTICS Open the dataset that will be used for the Session Long Project for this course. The variables are labeled across the top, one per column. There are 300 people in this dataset, with each row representing an individual`s data. Label the types of variables in the project study and describe, in words, the possible values of each category. List and describe the types of data that may be collected in a study, including binary, categorical, nominal, ordinal, and continuous variables. For instance, "gender" is binary and possible values include "male" versus "female." Do this for all of the variables in the study. Using the provided dataset, calculate the appropriate descriptive statistics for each of the variables in the dataset. Include a 2- to 3-page explanation of the descriptive statistics, including tables of the summarized data, similar to a "Results" section in a published manuscript or journal article. SLP Assignment Expectations Length: SLP Assignment should be at least 4 pages (1000 words) in length. References: At least four references from academic sources must be included (e.g., peer-reviewed journal articles). You may use any required readings from this module for your four references. Quoted material should not exceed 10% of the total paper (since the focus of these assignments is critical thinking). Use your own words and build on the ideas of others. When material is copied verbatim from external sources, it MUST be enclosed in quotes. The references should be cited within the text and listed at the end of the assignment in the References section (APA formatting recommended). Organization: Subheadings should be used to organize your paper according to each question. Format: APA formatting is recommended for this assignment. See Syllabus page for more information on APA formatting. Grammar and Spelling: While no points are deducted for minor errors, assignments are expected to adhere to standard guidelines of grammar, spelling, punctuation, and syntax. Points may be deducted if grammar and spelling impact clarity. Your assignment will not be graded until you have submitted an Originality Report with a Similarity Index (SI) score <20% (excluding direct quotes, quoted assignment instructions, and references). Papers not meeting this requirement by the end of the session will receive a score of 0 (grade of F). Do keep in mind that papers with a lower SI score may be returned for revisions. For example, if one paragraph accounting for only 10% of a paper is cut and pasted, the paper could be returned for revision, despite the low SI score. Please use the report and your SI score as a guide to improve the originality of your work. The following items will be assessed in particular: Achievement of learning outcomes for SLP Assignment. Relevance: all content is connected to the question. Precision: specific question is addressed; statements, facts, and statistics are specific and accurate. Depth of discussion: points that lead to deeper issues are presented and integrated. Breadth: multiple perspectives, references, and issues/factors are considered. Evidence: points are well supported with facts, statistics, and references. Logic: presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information. Clarity: writing is concise, understandable, and contains sufficient detail or examples. Objectivity: use of first person and subjective bias are avoided.
Overview of Biostatistics and Descriptive Statistics Name MHS506 Biostatistics SLP 1 Institution Allergy and diabetes are health problems that increasingly affect people in the U.S. Analysis on the causal factors increasing the risk of allergy are necessary to determine the extent to which allergic reactions are preventable, where a relative reduction in preventable causes focuses on avoiding the risk factors. The environmental factors are equally relevant to determining the risk of allergies and diabetes, since those living in near industrial sites and areas with high pollution are at higher risk of allergy (Silver et al., 2011). Additionally, people consuming fatty and processed foods while being physically inactive are likely to be obese and diabetic. The gender variable divides the study participants as either male or female in a binary fashion as a person cannot be in the two categories simultaneously. There were 159 female participants in the study representing 53% compared to 141 male respondents accounting for 47% of the subjects. The case for considering gender as a risk factor is that there are gender differences highlighting that females may be at higher risk of certain allergies The race factor in the study categories peo...