Analysis of Single-Factor Experiments

Hideki Toyoda ()
Additional contact information
Hideki Toyoda: Waseda University, Department of Psychology

Chapter Chapter 10 in Statistics with Posterior Probability and a PHC Curve, 2024, pp 155-174 from Springer

Abstract: Abstract In this chapter, we will study the introductory model of experimental design, which is the independent single-factor plan. Experiments are a powerful research method commonly used across many fields of study to verify whether theories or hypotheses are correct or not.

Date: 2024
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:978-981-97-3094-0_10

Ordering information: This item can be ordered from
http://www.springer.com/9789819730940

DOI: 10.1007/978-981-97-3094-0_10

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 ().