Additional Inferential Procedures

Alfred DeMaris and Steven H. Selman
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Alfred DeMaris: Bowling Green State University
Steven H. Selman: University of Toledo, Department of Urology

Chapter Chapter 4 in Converting Data into Evidence, 2013, pp 39-55 from Springer

Abstract: Abstract In this chapter we discuss the confidence interval. This is an interval of numbers that, we are very confident, contains the parameter of interest. Such intervals are very useful when our interest is in what the value of the parameter actually is, rather than just whether our hypothesis about it is or is not supported. After that, we revisit hypothesis testing with a more elaborate test in which we test whether two means in the population are the same. Following this, we consider the issue of statistical power in hypothesis testing. Power is a very important consideration, particularly when researchers are deciding how large a sample they need to collect in order to effectively answer their research questions.

Keywords: Null Hypothesis; Standardize Uptake Value; Sampling Distribution; Research Hypothesis; Light Switch (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-7792-1_4

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DOI: 10.1007/978-1-4614-7792-1_4

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