Anova
Anova
Anova (pronounced: /əˈnoʊvə/) is a statistical method used in the analysis of variance. It is used to analyze the differences among group means in a sample. The term Anova was derived from the English phrase "ANalysis Of VAriance".
Etymology
The term Anova was coined by the English statistician Ronald Fisher in the early 20th century. The term is an acronym for "ANalysis Of VAriance", which describes the method's purpose of analyzing variance.
Related Terms
- Variance: In statistics, variance is a measurement of the spread between numbers in a data set. It measures how far each number in the set is from the mean (average) and thus from every other number in the set.
- Statistical Analysis: Statistical analysis is the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends.
- Mean: In mathematics and statistics, the mean is the average of the numbers. It is a measure of central tendency, which is a location on the spectrum of numbers in a set.
- Sample (statistics): In statistics and quantitative research methodology, a sample is a set of individuals or objects collected or selected from a statistical population by a defined procedure.
Usage
Anova is used in many fields such as psychology, industrial manufacturing, and healthcare for quality assurance, A/B testing, and comparative studies. It helps to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.
See Also
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