Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Contingency Analysis /23 69 Quiz | Contingency Analysis 1 / 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. 2 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Fisher’s Exact Test T-test ANOVA Pearson correlation 3 / 23 What kind of variables are typically involved in contingency analysis? Interval variables Continuous variables Categorical (nominal) variables Ratio variables 4 / 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 handle missing data To adjust for small sample sizes 5 / 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 6 / 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. 7 / 23 What does the Chi-Square test assess in contingency analysis? Difference in means Association between categorical variables Linearity of variables Variance within groups 8 / 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 Difference between observed and expected values Sum of the product of row and column totals divided by the grand total 9 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? Strong association between variables The variables are independent Weak association between variables No association between variables 10 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Cramer's V Phi coefficient Goodman and Kruskal’s lambda Contingency coefficient 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 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 13 / 23 Which statistic measures the strength of association in a contingency table? Phi coefficient T-statistic F-statistic Beta coefficient 14 / 23 Which of the following is a step in the contingency analysis? Performing a T-test Regression analysis Interpretation of cross tables Calculating the mean difference 15 / 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 16 / 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 17 / 23 What is the purpose of creating a cross table in contingency analysis? To compare the means of different samples To display the joint distribution of two categorical variables To analyze the relationship between two continuous variables To visualize the correlation between variables 18 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Standard deviation Cramer's V Mean squared error Chi-square statistic 19 / 23 Which of the following scenarios is an example of using a contingency analysis? Calculating the variance of income across different cities 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 20 / 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 21 / 23 What is tested by the chi-square test in contingency analysis? Equality of variances Normal distribution of data Mean differences between groups Independence of variables 22 / 23 In which case would you use a contingency analysis? To calculate the mean of a dataset To check the independence between two categorical variables To determine if there is a correlation between two metric variables To find the standard deviation of a sample 23 / 23 What would indicate a strong association in a contingency table analysis? Zero degrees of freedom High residuals between observed and expected counts Low chi-square value Uniform distribution across the table Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
