What does a large Chi-Square statistic indicate in a Chi-Square test?Select one:a. A strong association between variablesb. An error in the calculationc. No association between variablesd. A weak association between variables

In the chi-square test, the null hypothesis states:a.There is an association between the variablesb.There is no association between the variablesc.The means of the groups are equald.The variances of the groups are equal

Chi-square analysis enables researchers to test for statistical significance between the frequency distributions of two or more nominally scaled variables in a cross-tabulation table to determine if there is any association between the variables. True False

HOW TO INTERPRET CHI SQUARE ANALYSIS BASED ON STATA

he chi-square test is used to determine:a.The difference between two population meansb.The relationship between two categorical variablesc.The correlation between two continuous variablesd.The significance of the sample sizeClear my choice

Which of the following statements about the Chi-square analysis is true? Categorical data from questions about sex, education, or other nominal variables cannot be tested with this statistic. The expected frequencies in Chi-square cannot be calculated theoretically. The larger the Chi-square, the less likely it is that the two variables that are measured are related. When the differences between observed and expected frequencies are large, one must accept the null hypothesis. Chi-square analysis compares the observed frequencies of responses with the expected frequencies.