Test your knowledge.Receive immediate feedback.You find all answers in the book. Quiz | Contingency Analysis /23 69 Quiz | Contingency Analysis 1 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To adjust for small sample sizes To increase the power of the test To correct for overdispersion To handle missing data 2 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Phi coefficient Goodman and Kruskal’s lambda Cramer's V Contingency coefficient 3 / 23 What kind of variables are typically involved in contingency analysis? Categorical (nominal) variables Continuous variables Ratio variables Interval variables 4 / 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. 5 / 23 What would indicate a strong association in a contingency table analysis? Uniform distribution across the table High residuals between observed and expected counts Low chi-square value Zero degrees of freedom 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 ANOVA Pearson correlation 7 / 23 How can the strength of the association in a contingency table be measured? By calculating the range Using measures like Cramer's V and the contingency coefficient By the coefficient of determination (R²) Through the standard error 8 / 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 20% of the cells must have 5 or more observations Variables must be continuous 9 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The linear relationship between two variables The correlation coefficient between two variables The strength of association based on marginal probabilities The difference in means between two groups 10 / 23 Which measure is used to assess the strength of association between variables in a contingency table? Chi-square statistic Standard deviation Cramer's V Mean squared error 11 / 23 Which of the following scenarios is an example of using a contingency analysis? Comparing the average heights of men and women Determining if there is an association between diet type and gender Estimating the relationship between advertising and sales Calculating the variance of income across different cities 12 / 23 What does a significant chi-square test indicate in the context of contingency analysis? The variables are dependent on each other The variables are normally distributed The variables have equal variances The variables are independent of each other 13 / 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 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 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. 16 / 23 Which statistic measures the strength of association in a contingency table? Phi coefficient T-statistic F-statistic Beta coefficient 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 What is tested by the chi-square test in contingency analysis? Normal distribution of data Mean differences between groups Equality of variances Independence of variables 19 / 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 20 / 23 In contingency analysis, what does a contingency coefficient closer to 1 indicate? The variables are independent No association between variables Weak association between variables Strong association between variables 21 / 23 Which of the following is a step in the contingency analysis? Regression analysis Interpretation of cross tables Calculating the mean difference Performing a T-test 22 / 23 What does the Chi-Square test assess in contingency analysis? Association between categorical variables Difference in means Linearity of variables Variance within groups 23 / 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 Square root of Chi-square value divided by the sample size Logarithm of the p-value Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
