QUIZ 1_Chi Square Test

What is the Chi-Square test primarily used for?

• Comparing means of two continuous variables

• Analyzing the relationship between two categorical variables

• Predicting future outcomes in regression analysis

• Assessing normality in data distribution

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

• It can only be applied to continuous variables

• It is used to compare observed and expected data

• It is primarily used for calculating correlation coefficients

• It requires a large sample size for accurate results

What does the Chi-Square test determine?

• The difference between two continuous variables

• The relationship between two categorical variables

• The mean value of a dataset

• The standard deviation of a dataset

What does the symbol 'c' represent in the formula for the Chi-Square test?

• Chi-Square value

• Degrees of freedom

• Expected value

• Observed Value

Which of the following is NOT a use of the Chi-Square test?

• Assessing the goodness of fit of a regression model

• Testing the independence of two categorical variables

• Analyzing the distribution of categorical data

• Comparing observed and expected frequencies

What is the Null Hypothesis (H0) in hypothesis testing?

• The assumption that the event will not occur

• The logical opposite of the alternate hypothesis

• The hypothesis that always supports the research hypothesis

• The assumption that the sample data is perfectly representative

Which of the following is an example of a nominal variable?

• Customer satisfaction level

• Temperature in degrees Celsius

• Gender (Male/Female)

• Annual income

When is the Chi-Square test most commonly used?

• When analyzing continuous variables

• When the data is from a random sample

• When the variable under study is ordinal

• When the sample size is small

What property of the Chi-Square test makes it sensitive to sample size?

• Variance is double the times the number of degrees of freedom

• Mean distribution is equal to the number of degrees of freedom

• The chi-square distribution curve becomes normal with increasing degrees of freedom

• Larger sample sizes lead to more reliable results

Which statement about the Chi-Square test of independence is true?

• It is used for comparing observed and expected frequencies

• It requires a small sample size for accurate results

• It assesses the relationship between two continuous variables

• It examines whether two sets of variables are likely related