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? Phi coefficient Contingency coefficient Goodman and Kruskal’s lambda Cramer's V 2 / 23 In which case would you use a contingency analysis? To determine if there is a correlation between two metric variables To check the independence between two categorical variables To find the standard deviation of a sample To calculate the mean of a dataset 3 / 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 4 / 23 What kind of variables are typically involved in contingency analysis? Categorical (nominal) variables Ratio variables Interval variables Continuous variables 5 / 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. 6 / 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 7 / 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 normally distributed The variables are dependent on each other The variables have equal variances 8 / 23 What does the Chi-Square test assess in contingency analysis? Association between categorical variables Variance within groups Difference in means Linearity of variables 9 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The strength of association based on marginal probabilities The correlation coefficient between two variables The linear relationship between two variables The difference in means between two groups 10 / 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 11 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? ANOVA T-test Pearson correlation Fisher’s Exact Test 12 / 23 What is tested by the chi-square test in contingency analysis? Equality of variances Independence of variables Mean differences between groups Normal distribution of data 13 / 23 How can the strength of the association in a contingency table be measured? Through the standard error By the coefficient of determination (R²) By calculating the range Using measures like Cramer's V and the contingency coefficient 14 / 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 adjust for small sample sizes To increase the power of the test 15 / 23 Which statistic measures the strength of association in a contingency table? Phi coefficient T-statistic Beta coefficient F-statistic 16 / 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 Determining if there is an association between diet type and gender Estimating the relationship between advertising and sales 17 / 23 How is the phi coefficient calculated in contingency analysis? Logarithm of the p-value Square root of Chi-square value divided by the sample size Sum of the product of row and column totals divided by the grand total Difference between observed and expected values 18 / 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 19 / 23 What is the purpose of creating a cross table in contingency analysis? To visualize the correlation between variables To analyze the relationship between two continuous variables To compare the means of different samples To display the joint distribution of two categorical variables 20 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? No association between variables Weak association between variables Strong association between variables The variables are independent 21 / 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. 22 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Chi-square statistic Standard deviation Mean squared error Cramer's V 23 / 23 Fill in the gap. “The Phi coefficient, contingency coefficient, Cramer’s V, Goodmann and Kruskal’s lambda and tau coefficient assess …” Check Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
