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 measure is used to assess the strength of association between variables in a contingency table? Chi-square statistic Cramer's V Standard deviation Mean squared error 3 / 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 Calculating the variance of income across different cities Estimating the relationship between advertising and sales Comparing the average heights of men and women 4 / 23 What is tested by the chi-square test in contingency analysis? Normal distribution of data Independence of variables Mean differences between groups Equality of variances 5 / 23 How is the phi coefficient calculated in contingency analysis? Difference between observed and expected values Sum of the product of row and column totals divided by the grand total Square root of Chi-square value divided by the sample size Logarithm of the p-value 6 / 23 What kind of variables are typically involved in contingency analysis? Ratio variables Categorical (nominal) variables Interval variables Continuous variables 7 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To correct for overdispersion To handle missing data To adjust for small sample sizes To increase the power of the test 8 / 23 Fill in the gap. “The Phi coefficient, contingency coefficient, Cramer’s V, Goodmann and Kruskal’s lambda and tau coefficient assess …” Check 9 / 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 10 / 23 Which statistic measures the strength of association in a contingency table? Beta coefficient T-statistic Phi coefficient F-statistic 11 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? Strong association between variables No association between variables Weak association between variables The variables are independent 12 / 23 How are degrees of freedom calculated in a chi-square test for a contingency table? Number of rows + Number of columns (Number of rows + 1) * (Number of columns + 1) (Number of rows - 1) * (Number of columns - 1) Number of rows * Number of columns 13 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The strength of association based on marginal probabilities The correlation coefficient between two variables The linear relationship between two variables The difference in means between two groups 14 / 23 In which case would you use a contingency analysis? 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 To find the standard deviation of a sample 15 / 23 What is the purpose of creating a cross table in contingency analysis? To visualize the correlation between variables To analyze the relationship between two continuous variables To display the joint distribution of two categorical variables To compare the means of different samples 16 / 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. 17 / 23 What does a significant chi-square test indicate in the context of contingency analysis? The variables have equal variances The variables are independent of each other The variables are dependent on each other The variables are normally distributed 18 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Contingency coefficient Phi coefficient Goodman and Kruskal’s lambda Cramer's V 19 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Fisher’s Exact Test Pearson correlation ANOVA T-test 20 / 23 What would indicate a strong association in a contingency table analysis? Zero degrees of freedom High residuals between observed and expected counts Uniform distribution across the table Low chi-square value 21 / 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 Variables must be continuous 20% of the cells must have 5 or more observations 22 / 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 23 / 23 What does the Chi-Square test assess in contingency analysis? Association between categorical variables Difference in means Variance within groups Linearity of variables Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
