Explain the concept of ANOVA and t-tests

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Accepted Answer

ANOVA and t-tests are statistical methods used to compare means of two or more groups.

ANOVA is used to compare means of three or more groups, while t-tests are used for two groups.
ANOVA tests if there is a significant difference between the means of the groups, while t-tests compare the means of the groups to see if they are significantly different.
ANOVA uses F-test to determine significance, while t-tests use t-distribution.
Example: ANOVA can be used to compare the average salaries of employees in different departments of a company.
Example: T-test can be used to compare the average weight of male and female participants in a study.

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