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