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 not based on the chi-square statistic for assessing the strength of association? Goodman and Kruskal’s lambda Phi coefficient Contingency coefficient Cramer's V 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 adjust for small sample sizes To handle missing data 3 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Cramer's V Chi-square statistic Standard deviation Mean squared error 4 / 23 What kind of variables are typically involved in contingency analysis? Continuous variables Interval variables Ratio variables Categorical (nominal) variables 5 / 23 Which statistic measures the strength of association in a contingency table? F-statistic Phi coefficient T-statistic Beta coefficient 6 / 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 normally distributed The variables are independent of each other The variables have equal variances 7 / 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 8 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? No association between variables The variables are independent Weak association between variables Strong association between variables 9 / 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 10 / 23 How can the strength of the association in a contingency table be measured? Through the standard error Using measures like Cramer's V and the contingency coefficient By calculating the range By the coefficient of determination (R²) 11 / 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 12 / 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. 13 / 23 Which of the following is a step in the contingency analysis? Performing a T-test Regression analysis Calculating the mean difference Interpretation of cross tables 14 / 23 What is the purpose of creating a cross table in contingency analysis? To visualize the correlation between variables To display the joint distribution of two categorical variables To compare the means of different samples To analyze the relationship between two continuous variables 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 What is tested by the chi-square test in contingency analysis? Independence of variables Normal distribution of data Equality of variances Mean differences between groups 17 / 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 Logarithm of the p-value Square root of Chi-square value divided by the sample size 18 / 23 Which of the following scenarios is an example of using a contingency analysis? 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 Calculating the variance of income across different cities 19 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The linear relationship between two variables The correlation coefficient between two variables The difference in means between two groups The strength of association based on marginal probabilities 20 / 23 What does the Chi-Square test assess in contingency analysis? Variance within groups Difference in means Association between categorical variables Linearity of variables 21 / 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. 22 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? T-test Fisher’s Exact Test Pearson correlation ANOVA 23 / 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 Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
