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Required Reading and Resources
Centers for Disease Control and Prevention [CDC]. (2012). Lesson 4: Displaying public health data. In Principles of epidemiology in public health practice [3rd ed.]. Retrieved from www.cdc.gov/ophss/csels/dsepd/ss1978/lesson4/index.html
Cook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 1: Laying the foundations: Measurements and probability. In Basic skills in statistics: A guide for healthcare professionals (pp. 3-14). London, GBR: Class Publishing. eISBN: 9781859591291.
Statistics Learning Centre. (2011, December 13). Types of data: Nominal, ordinal, interval/ratio . Retrieved from http://www.youtube.com/watch?v=hZxnzfnt5v8
Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 1: The basics. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.
Partners in Information Access for the Public Health Workforce. (2016, August 9). Health data tools and statistics. Retrieved from https://phpartners.org/health_stats.html
Part I (approximately 1–1½ pages, total):
Copy and paste the following examples (1-6 below), then respond by classifying each of the following variables as either: nominal, ordinal, interval, or ratio. Provide a brief explanation where indicated.
Part II: Statistics (1/2 page)
Given what you’ve learned in this module about the meaning of “statistics,” choose one of the examples from Part I (1-6), 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 III: Quantitative vs. Qualitative Data (approximately 1–1½ 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.
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