EACH SECTION MUST BE FOLLOWED EXACTLY AS FAR AS NUMBER PAGES UNDER EACH SUBJECT OVERVIEW OF BIOSTATISTICS AND DESCRIPTIVE STATISTICS Assignment Overview This Case Assignment will explore the types of commonly used statistics to describe data, as well as frequently used charts and graphs. Case Assignment Discuss the difference between Qualitative and Quantitative data. (1/2 page) Describe three examples of qualitative data and three examples of quantitative data. Include potential response categories (e.g., "yes" versus "no", likert scale of "very likely, likely, neither, unlikely, very unlikely"). (1 page) Describe a study that would use qualitative data. Then, describe a study that would use quantitative data. In each of these two studies, list ten possible variables that would be collected and types of response categories for each (e.g., gender would have two response categories for "male" and for "female"). (1 page) Choose a particular disease topic from the following list and provide descriptive statistics of the population at risk. Think gender, age, ethnicity, income levels, geographical distribution, weight/height, medical history, etc. Be sure to include at least 8- to 10-variables in your description. Potential sources of information include CDC, NHANES, WHO, Mayo, and NIH. Make sure to include appropriate citations on sources of data. Possible topics: Alzheimer`s, autism, breast cancer, cardiovascular disease, diabetes, HIV, lung cancer, obesity, Parkinson`s, stroke, etc. (1- to 2-pages) Assignment Expectations Length: Case Assignment should be at least 5 pages (1250 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 having a 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 Case 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.
HS506 Biostatistics Case 1 Name Course Institution Qualitative vs. Quantitative data Discretization transforms data that can either be qualitative and capable of being categorized or quantitative data that is ranked in order. Qualitative data focuses on descriptions compared to quantitative data that deals with numbers (Tappen, 2011). As such, qualitative data is merely observable but not measurable unlike quantitative data that can be measured. The qualities that represent qualitative data are subjective since they cannot be measured, but quantitative qualities are objective. Consequently, qualitative data measures are mainly represented by categorical variables while quantitative data values are numeric variables based on what can be quantified (Tappen, 2011). The differences between the two means that qualitative research relies on the data to determine whether there are underlying trends, while quantitative research is necessary in generating useable statistics that are quantified to identify facts and patterns. The quantitative and qualitative data can be combined with the mixed research methods to optimize the research. Examples of qualitative data and quantitative data Since qualitative data are categorical it is non numerical, but the data variables can be coded. One of the qualitative data is gender as this represents a person`s characteristic as either a male or female. When using numbers to represent gender with 1 for male and 2 for female, but they do...