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