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Titlebook: Statistical Research Methods; A Guide for Non-Stat Roy Sabo,Edward Boone Textbook 2013 Springer Science+Business Media New York 2013 Biosta

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Multi-category Data, measurement (Yes or No, Success or Failure, etc.). We now generalize to the case where one or more of our variables under consideration has more than two possible values. These types of polytomous or multi-category data are more complicated than their dichotomous brethren, and as such must be handl
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Summarizing Continuous Data,and contingency tables. In this chapter we begin our study of ., where the measurements we will deal with are quantitative in nature. Since this type of data consists of actual numbers, we will be able to arithmetically manipulate them (this isn’t as malicious as it sounds). However, what type of ma
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Textbook 2013ces to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one a
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Summarizing Continuous Data,of data consists of actual numbers, we will be able to arithmetically manipulate them (this isn’t as malicious as it sounds). However, what type of manipulation we perform depends – of course – on the type of question we’re attempting to answer, as well as the nature of the data itself.
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Power,We have previously discussed the concepts of Type I and Type II errors, but we have not much considered their relevance to study design and statistical analysis. In practice, controlling either the type II error rate or the power – holding all other components fixed – will determine the sample size needed to find a significant result.
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