Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Contingency Analysis /23 69 Quiz | Contingency Analysis 1 / 23 Fill in the gap. “The Phi coefficient, contingency coefficient, Cramer’s V, Goodmann and Kruskal’s lambda and tau coefficient assess …” Check 2 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? The variables are independent No association between variables Strong association between variables Weak association between variables 3 / 23 In which case would you use a contingency analysis? To check the independence between two categorical variables To determine if there is a correlation between two metric variables To calculate the mean of a dataset To find the standard deviation of a sample 4 / 23 Which of the following is a step in the contingency analysis? Regression analysis Performing a T-test Interpretation of cross tables Calculating the mean difference 5 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Cramer's V Contingency coefficient Phi coefficient Goodman and Kruskal’s lambda 6 / 23 What kind of variables are typically involved in contingency analysis? Ratio variables Categorical (nominal) variables Continuous variables Interval variables 7 / 23 How are degrees of freedom calculated in a chi-square test for a contingency table? (Number of rows + 1) * (Number of columns + 1) (Number of rows - 1) * (Number of columns - 1) Number of rows * Number of columns Number of rows + Number of columns 8 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Standard deviation Chi-square statistic Cramer's V Mean squared error 9 / 23 What does a significant chi-square test indicate in the context of contingency analysis? The variables are dependent on each other The variables are independent of each other The variables are normally distributed The variables have equal variances 10 / 23 What would indicate a strong association in a contingency table analysis? Zero degrees of freedom High residuals between observed and expected counts Low chi-square value Uniform distribution across the table 11 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The linear relationship between two variables The strength of association based on marginal probabilities The difference in means between two groups The correlation coefficient between two variables 12 / 23 What is tested by the chi-square test in contingency analysis? Independence of variables Normal distribution of data Mean differences between groups Equality of variances 13 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To handle missing data To correct for overdispersion To increase the power of the test To adjust for small sample sizes 14 / 23 What is a critical assumption for the validity of the chi-square test in contingency tables? No cell should have an observed count less than 5 Variables must be continuous All cells must have observations 20% of the cells must have 5 or more observations 15 / 23 Which of the following scenarios is an example of using a contingency analysis? Determining if there is an association between diet type and gender Comparing the average heights of men and women Estimating the relationship between advertising and sales Calculating the variance of income across different cities 16 / 23 Cramer’s V reaches the value 1, if ... a variable is partly determined by the other variable. a variable is completely determined by the other variable. 17 / 23 What does the Chi-Square test assess in contingency analysis? Difference in means Association between categorical variables Linearity of variables Variance within groups 18 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Fisher’s Exact Test T-test ANOVA Pearson correlation 19 / 23 What is the purpose of creating a cross table in contingency analysis? To display the joint distribution of two categorical variables To compare the means of different samples To analyze the relationship between two continuous variables To visualize the correlation between variables 20 / 23 What does a large deviation between the observed and expected number of observations of two variables indicate? The variables are probably dependent. The variables are probably independent. 21 / 23 How is the phi coefficient calculated in contingency analysis? Difference between observed and expected values Square root of Chi-square value divided by the sample size Logarithm of the p-value Sum of the product of row and column totals divided by the grand total 22 / 23 Which statistic measures the strength of association in a contingency table? T-statistic Phi coefficient Beta coefficient F-statistic 23 / 23 How can the strength of the association in a contingency table be measured? Using measures like Cramer's V and the contingency coefficient By calculating the range Through the standard error By the coefficient of determination (R²) Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
