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