EconPapers    
Economics at your fingertips  
 

The Linear Model: t-test and ANOVA

Carsten Dormann ()
Additional contact information
Carsten Dormann: University of Freiburg, Biometry and Environmental System Analysis

Chapter Chapter 11 in Environmental Data Analysis, 2020, pp 147-162 from Springer

Abstract: Abstract At the end of this (long) chapter $$\ldots $$ … $$\ldots $$ … you will know the t-test in its many different variations. $$\ldots $$ … You will understand that the idea of variance analysis is to divide the total variance into explainable and unexplained variance. $$\ldots $$ … you will know the F-test for calculating the significance of a variance analysis. $$\ldots $$ … you will understand the close relationship between ANOVA and regression.

Date: 2020
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:978-3-030-55020-2_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030550202

DOI: 10.1007/978-3-030-55020-2_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 ().

 
Page updated 2026-05-22
Handle: RePEc:spr:sprchp:978-3-030-55020-2_11