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7 years ago in ANOVA By Yashaswini Singh

Chi-Square test vs ANOVA test

Help please! Confused between Chi-Square test and ANOVA test.

All Answers (3 Answers In All)

By Garima Chauhan Answered 7 years ago

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

By Latesha Abendroth Answered 7 years ago

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

By Aditi Sharma Answered 7 years ago

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

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