Summarizing Continuous Data

Roy Sabo and Edward Boone
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Roy Sabo: Virginia Commonwealth University, Department of Biostatistics
Edward Boone: Virginia Commonwealth University, Department of Statistical Sciences and OR

Chapter Chapter 5 in Statistical Research Methods, 2013, pp 79-99 from Springer

Abstract: Abstract Chapters 2–4 dealt with categorical data, where the measurements were qualitative in nature. Summarizing these data required frequencies, proportions and contingency tables. In this chapter we begin our study of continuous data, 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 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.

Keywords: Decimal Place; Glasgow Coma Scale Score; Empirical Rule; Visual Tool; Population Standard Deviation (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-1-4614-8708-1_5

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