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