One Way Analysis of Variance: Difference between revisions
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{{Learning concept | {{Learning concept | ||
|Description=An ANOVA technique in which there is only one factor. | |Description=An ANOVA technique in which there is only one factor. | ||
A One Way ANOVA is used to compare several treatment means: | |||
A treatment is a source of variation. | |||
The assumptions underlying ANOVA are: | |||
The samples are from populations that follow the normal distribution. | |||
The populations have equal standard deviations. | |||
The samples are independent. | |||
|Wikipedia reference=http://en.wikipedia.org/wiki/One-way_analysis_of_variance | |Wikipedia reference=http://en.wikipedia.org/wiki/One-way_analysis_of_variance | ||
}} | }} | ||
Latest revision as of 00:32, 24 January 2014
Description
An ANOVA technique in which there is only one factor.
A One Way ANOVA is used to compare several treatment means:
A treatment is a source of variation.
The assumptions underlying ANOVA are:
The samples are from populations that follow the normal distribution.
The populations have equal standard deviations.
The samples are independent.
Concept Prerequisite
Wikipedia Reference
http://en.wikipedia.org/wiki/One-way analysis of variance
Learning Material
Covered in Topic(s)
| Analysis of Variance |
| Analysis of Variance & Covariance |