EconPapers    
Economics at your fingertips  
 

Probability Distributions: Continuous

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 5 in Foundations of Biostatistics, 2018, pp 137-154 from Springer

Abstract: Abstract Two of the most essential continuousVariable continuous distributions, the normal probability distribution and the standard normal probability distribution, are discussed in this chapter with specific focus to the need of users who want to use these distributions in their applications. In this chapter, examples are displayed in a way that the users will be able to learn the applications of these distributions without ambiguity. The general rules of a continuous distribution are illustrated and the relationship between probability in an interval and cumulative probabilityProbability distribution cumulative is shown. The computational procedures of probabilities are illustrated with many examples and figures using the standard normal probability 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_5

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

DOI: 10.1007/978-981-10-8627-4_5

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 ().

 
Page updated 2025-12-08
Handle: RePEc:spr:sprchp:978-981-10-8627-4_5