Tests of Significance

Charan Singh Rayat
Additional contact information
Charan Singh Rayat: Postgraduate Institute of Medical Education & Research, Department of Histopathology

Chapter 11 in Statistical Methods in Medical Research, 2018, pp 85-93 from Springer

Abstract: Abstract Statistician applies appropriate “statistical test” to analyze the given data in order to draw conclusion. Such a conclusion or inference is called “statistical decision.” Contesting the null hypothesis (H o) without any bias is essential. Accepting or rejecting the H o illogically would lead to erroneous decisions. One-tailed or two-tailed tests are generally applied depending on the scope and requirement of given data. One-tailed test is applied for testing the hypothesis that one process is better than the other. These tests are applied to two sets of observations from the same subjects or two sets of observations for the same parameter from two different groups of subjects. Student’s t-distribution plays a great role in sampling. When sample size is large (n > 30), the sampling distribution is considered normal. But, when the sample size is small (n

Date: 2018
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:978-981-13-0827-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9789811308277

DOI: 10.1007/978-981-13-0827-7_11

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 ().