Good question. We use the term ANOVA as if it would be one test, one operation, one action.

ANOVA, as analysis of variance seperates means of more than two groups of a universe.

ANOVA shows 3 steps:

https://en.wikipedia.org/wiki/Analysis_of_variance

Example for application of ANOVA: Test the Taste

Although peas seem to be homogenous products in cans, consumers mention different pleasant taste.

1.1. analysis of measurable parameters of peas: hardness, ratio of shells, etc.

1.2. analysis of the testers ability to detect uncooked peas, shells by tongue with covered eyes, etc.

2. F-testing of likert-scaled gradings of pleasant taste and differences of the distribution of parameters of the peas cans.

3. Modelling a proportional model of pleasant taste bei appropriate sequence and increments: uncooked peas < paddy peas < ...< flavour enhaced by biological summer savory.

Hello Dr.Rashid,

Please refer the link, to understand the basics of ANOVA, its types and applications.

http://www.statisticshowto.com/probability-and-statistics/hypothesis-testing/anova/

Regards

Vishwa

Dr.Rashid,

I believe you might find interesting the material provided by Dr. Andy Field.

https://www.discoveringstatistics.com/

He provides written and video material about ANOVA

When you want to compare the measures of several groups, you use the variance analysis. There are, of course, defaults in this regard.

Pl take care of spelling while asking question.

ANOVA uses the F-test to check for significance. It compares the sum of squares attributable to the model (between groups) to the sum of squares attributable to the error (within groups). It takes the ratio of the two and compares with the F-value at the particular level of significance and number of degrees of freedom. This is the one way Analysis of Variance. One can also conduct ANOVA with multiple independent variables also.