Hypothesis testing and confidence intervals concerning one variance

Pierre Jolicoeur
Additional contact information
Pierre Jolicoeur: University of Montreal, Department of Biological Science

Chapter Chapter 10 in Introduction to Biometry, 1999, pp 63-66 from Springer

Abstract: Abstract As indicated in section 7.1, when a set of N completely independent observations X1, X 2, X 3>,… X N follows a normal distribution N(µx, σ x 2 ), the sum of the squares of the standardized variates (X h – µx)/σx follows a X 2distribution with N degrees of freedom: $$ \sum\limits_{h = 1}^N {\left( {X_h - \mu _x } \right)^2 } /\sigma _x^2 \leftarrow \mathcal{X}^2 \left( N \right) \cdot $$

Date: 1999
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:978-1-4615-4777-8_11

Ordering information: This item can be ordered from
http://www.springer.com/9781461547778

DOI: 10.1007/978-1-4615-4777-8_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 ().