Project #80298 - Introduction to Hypothesis Testing

Module 4 - Case INTRODUCTION TO HYPOTHESIS TESTING Assignment Overview Suppose that a 2012 National Health Interview Survey gives the number of adults in the United States (reported in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV. Here are the data: Age Group Tested Never Tested 18–44 years 50,080 56,405 45–64 years 23,768 48,537 65–74 years 2,694 15,162 75 years and older 1,247 14,663 Total 77,789 134,767 Case Assignment 1. Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of using this technique? 2. Identify and discuss the two major categories of probability interpretations, whose adherents possess conflicting views about the fundamental nature of probability. 3. Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hint: using the data in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)), where p is probability. 4. What proportion of 18- to 44-year-old Americans have never been tested for HIV? Hint: using the values in the 18–44 cells, this would be calculated as p (NT) / ( p (NT) + p (T)), where p is probability. Show your work. Assignment Expectations Use the information in the modular background readings as well as resources you find through ProQuest or other online sources. Please be sure to cite all sources and provide a reference list at the end of the paper. Submit the paper as a Word document through the link provided for the assignment. Length: 2–3 pages typed and double-spaced. APA FORMAT INTRODUCTION TO HYPOTHESIS TESTING Required Reading Michelson, S. & Schofield, T. (2002). Chapter 2: Inference (pages 45-53). In: The Biostatistics Cookbook: The Most User-Friendly Guide for the Bio/Medical Scientist. Kluwer Academic Publishers. Available in Ebrary, accessed via Trident’s online library. Additional Reading (Optional) Davis, R. and Mukamal, K. (2006). Statistical Primer for Cardiovascular Research: Hypothesis testing. Retrieved from http://circ.ahajournals.org/content/114/10/1078.full McDonald, JH (2009). Basic concepts of hypothesis testing. Retrieved fromhttp://www.biostathandbook.com/hypothesistesting.html Johnson, L. (2008). Principles of Hypothesis Testing for Public Health. National Center for Complementary and Alternative Medicine. Retrieved fromhttps://ippcr.nihtraining.com/handouts/2011/Hypothesis_2011.pdf

Subject Mathematics
Due By (Pacific Time) 09/02/2015 08:00 am
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