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 Cramer's V Contingency coefficient Phi coefficient 2 / 23 What is the purpose of creating a cross table in contingency analysis? To visualize the correlation between variables To compare the means of different samples To display the joint distribution of two categorical variables To analyze the relationship between two continuous variables 3 / 23 How can the strength of the association in a contingency table be measured? Through the standard error By calculating the range By the coefficient of determination (R²) Using measures like Cramer's V and the contingency coefficient 4 / 23 What would indicate a strong association in a contingency table analysis? Uniform distribution across the table High residuals between observed and expected counts Low chi-square value Zero degrees of freedom 5 / 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 6 / 23 Which statistic measures the strength of association in a contingency table? T-statistic Beta coefficient F-statistic Phi coefficient 7 / 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 8 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The correlation coefficient between two variables The linear relationship between two variables The difference in means between two groups The strength of association based on marginal probabilities 9 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Pearson correlation ANOVA T-test Fisher’s Exact Test 10 / 23 Which of the following is a step in the contingency analysis? Calculating the mean difference Performing a T-test Regression analysis Interpretation of cross tables 11 / 23 Fill in the gap. “The Phi coefficient, contingency coefficient, Cramer’s V, Goodmann and Kruskal’s lambda and tau coefficient assess …” Check 12 / 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 Comparing the average heights of men and women Estimating the relationship between advertising and sales Calculating the variance of income across different cities 13 / 23 How is the phi coefficient calculated in contingency analysis? Square root of Chi-square value divided by the sample size Logarithm of the p-value Sum of the product of row and column totals divided by the grand total Difference between observed and expected values 14 / 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. 15 / 23 What kind of variables are typically involved in contingency analysis? Continuous variables Categorical (nominal) variables Ratio variables Interval variables 16 / 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 independent of each other The variables are normally distributed The variables have equal variances 17 / 23 What does the Chi-Square test assess in contingency analysis? Difference in means Variance within groups Linearity of variables Association between categorical variables 18 / 23 What is tested by the chi-square test in contingency analysis? Normal distribution of data Equality of variances Mean differences between groups Independence of variables 19 / 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 20% of the cells must have 5 or more observations No cell should have an observed count less than 5 20 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Chi-square statistic Mean squared error Cramer's V Standard deviation 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 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 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
