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Hello Yashaswini! Chi Square test and ANOVA test both are inferential statistics test. The chi-square (χ 2) test is used to assess a relationship between two categorical variables. Steps included in Chi Square test are: State the hypotheses, Formulate an analysis plan, Analyse sample data Interpret results. Whereas ANOVA test is used to determine the extent to which the independent variable(s) impact the dependent variables in a regression analysis. Steps included in ANOVA test are: Description of data Assumption Hypothesis Test statistic Distribution of test statistic Decision rule Calculation of test statistic Statistical decision Conclusion Determination of p value

Chi square is used when we have two categorical variables and want to determine if one variable is related to another. In ANOVA, we have two or more group means. In an ANOVA, one variable must be categorical and the other must be continuous. To know more about Chi Square test and ANOVA test visit https://www.civilserviceindia.com/subject/Management/notes/chi-square-and-anova.html

Checkout http://www.statisticsforlis.org/chapter-13-analysis-of-variances-and-chi-square-tests/ for more info regrading the two tests.