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Analysis of variance (ANOVA) is defined as the " Separation of variance ascribable one group of cause from the variance ascribable to another group".

The variations may be calculated and their effects estimated by a statistical method known as the ANOVA.

USES:

# ANOVA is the most powerful statistical tools. # ANOVA is general method of analyzing data from designed experiments. # ANOVA is a powerful process that is useful to analyze the variance between any number of sample. # ANOVA is useful to find significance level between any number of samples and we can analyze whether difference is statistically significant (or) not

# This is specially useful to give conclusions for the data obtained in researches. # It keeps the alpha error in a limit. # It is most powerful than t-test as it has no limit in samples that we analyze, T-test is useful to analyze up to only 30 samples. # In the bio equivalence studies the similarities between the samples will be analyzed with ANOVA only. # Pharmacokinetic data also will be evaluated using ANOVA. # Pharmacodynamics (what drugs does to the body) data also will be analyzed with ANOVA only. That means we can analyze our drug is showing significantpharmacological action (or) not.

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