One-Way ANOVA: Comparing Means of More than Two Samples

J. P. Verma ()
Additional contact information
J. P. Verma: Lakshmibai National University of Physical Education, Research and Advanced Studies

Chapter Chapter 7 in Data Analysis in Management with SPSS Software, 2013, pp 221-254 from Springer

Abstract: Abstract One-way analysis of variance is a statistical technique used for comparing means of more than two groups. It tests the null hypothesis that samples in different groups have been drawn from the same population. It is abbreviated as one-way ANOVA. This technique can be used in a situation where the data is measured either at interval scale or ratio scale. In one-way ANOVA, group means are compared by comparing the variability between groups with that of variability within the groups. This is done by computing an F-statistic. The F-value is computed by dividing the mean sum of square (MSS) calculated between the group means by the MSS within the groups. As per the central limit theorem, if the groups are drawn from the same population, the variance between the group means should be lower than the variance within the samples. Thus, a higher ratio (F-value) indicates that the samples were drawn from different populations.

Keywords: Stress Score; Occupational Stress; Achievement Motivation; Unequal Sample Size; Less Significant Difference Test (search for similar items in EconPapers)
Date: 2013
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:978-81-322-0786-3_7

Ordering information: This item can be ordered from
http://www.springer.com/9788132207863

DOI: 10.1007/978-81-322-0786-3_7

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 ().