Testing a Hypothesis
Alfred DeMaris and
Steven H. Selman
Additional contact information
Alfred DeMaris: Bowling Green State University
Steven H. Selman: University of Toledo, Department of Urology
Chapter Chapter 3 in Converting Data into Evidence, 2013, pp 23-37 from Springer
Abstract:
Abstract This chapter introduces the reader to statistical inference, and in particular, the test of hypothesis. Inference refers to the idea that we will employ the sample data to make inferences about the population. A major means of making inferences is to pose a hypothesis about the population and then examine whether it is supported by one’s sample data. There is an intricate set of cognitive steps involved in this process. Because reasoning is involved that may seem unfamiliar at first, we will proceed with caution. We begin with a simple and intuitive example of hypothesis testing to show the reader that he or she already employs such reasoning on a regular basis.
Keywords: Null Hypothesis; Central Limit Theorem; Sampling Distribution; Research Hypothesis; Sample Result (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-7792-1_3
Ordering information: This item can be ordered from
http://www.springer.com/9781461477921
DOI: 10.1007/978-1-4614-7792-1_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().