Standard Deviation

Melvin Hausner
Additional contact information
Melvin Hausner: New York University, Washington Square and University College

Chapter Chapter 6 in Elementary Probability Theory, 1995, pp 207-234 from Springer

Abstract: Abstract In Chapter 5 we defined the mean μ = E(X) as an important single number associated with a random variable X. It was pointed out that the mean cannot replace X, because it gives no indication of how the values X(s) are distributed about the mean. In this chapter we introduce the numbers V(X), the variance of X, and σ ( X ) = V ( X ) ]]

Keywords: Relative Frequency; Sample Variance; Independent Random Variable; Sample Space; Sample Standard Deviation (search for similar items in EconPapers)
Date: 1995
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:978-1-4615-1753-5_6

Ordering information: This item can be ordered from
http://www.springer.com/9781461517535

DOI: 10.1007/978-1-4615-1753-5_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 ().