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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

Question

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

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Solution

The chi-square test is used to determine the relationship between two categorical variables.

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A researcher is interested in student characteristics based on their degree programme. As part of her study, she investigates whether psychology and maths students are equally likely to have been to a bar over the previous weekend. Her survey provides the frequency of going to a bar or not going to a bar for a sample of 90 psychology students and 90 maths students. What type of test can she carry out on the data?Question 8Answera.Chi-Square Testb.McNemar Testc.Independent Sample T-Testd.Pearson's correlation

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

Which statistical test should be used to determine if there is a significant association between two categorical variables?Group of answer choicesChi-Square TestPearson correlationIndependent samples t-testANOVA

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.

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

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