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