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INFORMATIONPaper Format: Abstract page Number of pages: Number of slides: Number of questions: Number of problems: Academic Level: Type of work: Type of paper: Sources neededAPA No 3 Double spaced 0 0 0 Bachelor Writing from scratch Essay 3Subject Introduction to Probability Theory and Health Statistics Topic Case Assignment Module 1Paper detailsPart 1 (approximately 1â€“1.5 pages, total):
Copy and paste the following examples (Aâ€“F below) , then respond by classifying each of the following variables as either: nominal, ordinal, interval, or ratio. Provide a brief explanation where indicated.1.A researcher studying lifespan categorizes individuals into single, married, divorced, or widowed. What type of variable measurement is this?2.A cognitive scientist places her subjects into categories based on how anxious they tell her that they are feeling: â€œnot anxiousâ€, â€œmildly anxiousâ€, â€œmoderately anxiousâ€ and â€œseverely anxiousâ€, and she uses the numbers 0, 1, 2 and 3 to label categories where lower numbers indicate less anxiety. What type of variable measurement is this? Are the categories mutually exclusive?3.A Physician diagnoses the presence or absence of disease (i.e. yes or no). What type of variable measurement is this?4.A person weighing 200 lbs. is considered to be twice as heavy as a person weighing 100 lbs. In this case, what type of measurement is body weight?5.A nurse takes measurements of body temperature on patients and reports them in units of degrees Farenheit as part of a study. What type of variable measurement is this?6.Patients rate their experience in the emergency room on a five point scale from poor to excellent ( 1 = very poor, 2 = not very good, 3 = neither good nor bad, 4 = quite good, and 5 = excellent). What type of variable measurement is this? Is the difference between a 1 and a 2 necessarily the same as the difference between a 3 and a 4? Explain briefly.
Part 2: Statistics (1/2 page)
Given what youâ€™ve learned in this module about the meaning of â€œstatisticsâ€, choose one of the examples from Part I (A-F), and raise a relevant question of your own that could be answered by a statistician. Then without answering your own question, explain how a pattern could be studied or a useful prediction made based on data that are to be collected.
Part 3: Quantitative vs. Qualitative Data (approximately 1â€“1.5 pages)
A health scientist wishes to measure how well participants diagnosed with Post Traumatic Stress Disorder are coping. Explain how a variable such as coping could be measured quantitatively or qualitatively.