CS 110 Chapter Notes - Chapter 5: Data Analysis, Iso 9000, Sample Size Determination

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29 Sep 2016
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Developing answers to questions through examination and interpretation of data. Essential for understanding results from surveys, admin sources and pilot studies, providing info on data gaps, design of surveys, planning new stats activities, formulating quality objectives: analytic process. Identifying issues, determining availability of suitable data and deciding on which methods are appropriate for answering the questions of interest, applying the methods and evaluating, summarizing and communicating the results: analytic results. Principles: concerned with relevance/usefulness of info contained in data, descriptive study. Directed at the estimation of summary measures of a target pop: analytical study. Used to explain the behavior of and relationships among characteristics. What issue am i addressing: justification. How will this contribute to existing knowledge: data. Interpretation of results: avoid drawing conclusions in causality, beware of focusing on short-term trends without inspecting them in light of med. To long term trends: avoid arbitrary time reference points use meaningful points of reference.

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