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