MCQ on Chisquare Test







Chi-square test is a statistical method used to assess the association between categorical variables. It compares observed and expected frequencies to determine if there is a significant relationship or independence between the variables. With this MCQ on Chisquare Test, you can understand the basic concept and applications of Chi-square test.

You may also like: Chi-Square Test Notes



What is the Chi-Square test used for in statistics?

What type of data is suitable for a Chi-Square test?

Which of the following statements is true regarding the Chi-Square test?

What is the null hypothesis in a Chi-Square test?

What is the alternative hypothesis in a Chi-Square test?

What is the test statistic used in a Chi-Square test?

What is the critical value in a Chi-Square test?

How is the Chi-Square statistic calculated?

What does a large Chi-Square statistic indicate in a Chi-Square test?

What is the degrees of freedom in a Chi-Square test?

What is the p-value in a Chi-Square test?

How do you interpret a small p-value in a Chi-Square test?

What is the effect of increasing the sample size in a Chi-Square test?

Which test is used to compare observed frequencies to expected frequencies in a Chi-Square test?

When is a Chi-Square test appropriate to use?

You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |




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