Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Contingency Analysis /23 69 Quiz | Contingency Analysis 1 / 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 2 / 23 What is tested by the chi-square test in contingency analysis? Equality of variances Normal distribution of data Independence of variables Mean differences between groups 3 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? The variables are independent Strong association between variables Weak association between variables No association between variables 4 / 23 What is the purpose of creating a cross table in contingency analysis? To analyze the relationship between two continuous variables To display the joint distribution of two categorical variables To visualize the correlation between variables To compare the means of different samples 5 / 23 What is a critical assumption for the validity of the chi-square test in contingency tables? 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 Variables must be continuous 6 / 23 Which statistic measures the strength of association in a contingency table? Beta coefficient T-statistic Phi coefficient F-statistic 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 What does a significant chi-square test indicate in the context of contingency analysis? The variables are dependent on each other The variables have equal variances The variables are independent of each other The variables are normally distributed 9 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To adjust for small sample sizes To handle missing data To correct for overdispersion To increase the power of the test 10 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The correlation coefficient between two variables The strength of association based on marginal probabilities The linear relationship between two variables The difference in means between two groups 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 What kind of variables are typically involved in contingency analysis? Categorical (nominal) variables Continuous variables Ratio variables Interval variables 13 / 23 Which of the following is a step in the contingency analysis? Interpretation of cross tables Performing a T-test Calculating the mean difference Regression analysis 14 / 23 In which case would you use a contingency analysis? To find the standard deviation of a sample 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 15 / 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 16 / 23 Which of the following scenarios is an example of using a contingency analysis? Comparing the average heights of men and women Calculating the variance of income across different cities Estimating the relationship between advertising and sales Determining if there is an association between diet type and gender 17 / 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. 18 / 23 How can the strength of the association in a contingency table be measured? Using measures like Cramer's V and the contingency coefficient By the coefficient of determination (R²) Through the standard error By calculating the range 19 / 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 T-test ANOVA 20 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Contingency coefficient Cramer's V Phi coefficient Goodman and Kruskal’s lambda 21 / 23 What does the Chi-Square test assess in contingency analysis? Association between categorical variables Variance within groups Linearity of variables Difference in means 22 / 23 What would indicate a strong association in a contingency table analysis? Zero degrees of freedom Uniform distribution across the table Low chi-square value High residuals between observed and expected counts 23 / 23 How is the phi coefficient calculated in contingency analysis? Difference between observed and expected values 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 Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
