Sampling Distribution

M. Ataharul Islam () and Abdullah Al-Shiha ()
Additional contact information
M. Ataharul Islam: University of Dhaka, ISRT
Abdullah Al-Shiha: College of Science, King Saud University, Department of Statistics and Operations Research

Chapter Chapter 6 in Foundations of Biostatistics, 2018, pp 155-187 from Springer

Abstract: Abstract In this chapter, the concepts of sampling distribution are introduced. The meaning of a sampling distribution is illustrated with examples in order to provide the users with fundamental concepts in a step-by-step procedure. The sampling distributions of mean for both small and large samples are discussed. The underlying assumptions about the distributions from which the samples are drawn and about the population variance are also highlighted. Similarly, the sampling distributions of difference between two means along with the underlying assumptions about the populations are shown with examples. The sampling distributions of sample proportion and difference between two proportions are discussed with examples. The sampling distributions included in this chapter are normal, t, chi-square, and F-distributions.

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:978-981-10-8627-4_6

Ordering information: This item can be ordered from
http://www.springer.com/9789811086274

DOI: 10.1007/978-981-10-8627-4_6

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 ().