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

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

What does a chi-square test compare?Question 4Answera.the frequency of incorrect responses for each variableb.correct and incorrect reaction timesc.the observed and total frequencies for each individual participantd.the observed and expected frequencies for each cell

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.

3. The Chi Square test is applicable for a given data, if*

In a two-sample t-test, there are two approaches: considering the equal variance and considering the unequal variance. What test is used to check if the variance of the two populations is equal or not?a.F testb.t testc.Z testd.Chi-square testClear my choice