Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Contingency Analysis /23 69 Quiz | Contingency Analysis 1 / 23 What would indicate a strong association in a contingency table analysis? Low chi-square value Zero degrees of freedom High residuals between observed and expected counts Uniform distribution across the table 2 / 23 What kind of variables are typically involved in contingency analysis? Continuous variables Ratio variables Categorical (nominal) variables Interval variables 3 / 23 What is the purpose of creating a cross table in contingency analysis? To display the joint distribution of two categorical variables To visualize the correlation between variables To analyze the relationship between two continuous variables To compare the means of different samples 4 / 23 How is the phi coefficient calculated in contingency analysis? Square root of Chi-square value divided by the sample size Difference between observed and expected values Logarithm of the p-value Sum of the product of row and column totals divided by the grand total 5 / 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. 6 / 23 Which of the following is a step in the contingency analysis? Performing a T-test Interpretation of cross tables Calculating the mean difference Regression analysis 7 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Pearson correlation Fisher’s Exact Test ANOVA T-test 8 / 23 What does the Chi-Square test assess in contingency analysis? Association between categorical variables Difference in means Variance within groups Linearity of variables 9 / 23 Which statistic measures the strength of association in a contingency table? Phi coefficient F-statistic Beta coefficient T-statistic 10 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Phi coefficient Goodman and Kruskal’s lambda Contingency coefficient Cramer's V 11 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To correct for overdispersion To increase the power of the test To adjust for small sample sizes To handle missing data 12 / 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 Calculating the variance of income across different cities Estimating the relationship between advertising and sales 13 / 23 Fill in the gap. “The Phi coefficient, contingency coefficient, Cramer’s V, Goodmann and Kruskal’s lambda and tau coefficient assess …” Check 14 / 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) 15 / 23 What is a critical assumption for the validity of the chi-square test in contingency tables? 20% of the cells must have 5 or more observations No cell should have an observed count less than 5 Variables must be continuous All cells must have observations 16 / 23 In which case would you use a contingency analysis? To determine if there is a correlation between two metric variables To calculate the mean of a dataset To check the independence between two categorical variables To find the standard deviation of a sample 17 / 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 have equal variances The variables are normally distributed 18 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? Strong association between variables The variables are independent No association between variables Weak association between variables 19 / 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. 20 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The difference in means between two groups The correlation coefficient between two variables The linear relationship between two variables The strength of association based on marginal probabilities 21 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Mean squared error Chi-square statistic Cramer's V Standard deviation 22 / 23 What is tested by the chi-square test in contingency analysis? Independence of variables Equality of variances Normal distribution of data Mean differences between groups 23 / 23 How can the strength of the association in a contingency table be measured? By the coefficient of determination (R²) Through the standard error Using measures like Cramer's V and the contingency coefficient By calculating the range Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
