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 purpose of creating a cross table in contingency analysis? To visualize the correlation between variables To compare the means of different samples To analyze the relationship between two continuous variables To display the joint distribution of two categorical variables 2 / 23 What is the primary purpose of applying the Yates’ Correction in the Chi-squared test? To increase the power of the test To correct for overdispersion To adjust for small sample sizes To handle missing data 3 / 23 Which measure is not based on the chi-square statistic for assessing the strength of association? Cramer's V Contingency coefficient Goodman and Kruskal’s lambda Phi coefficient 4 / 23 What does Goodman and Kruskal’s tau measure in the context of contingency analysis? The strength of association based on marginal probabilities The difference in means between two groups The correlation coefficient between two variables The linear relationship between two variables 5 / 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 + Number of columns (Number of rows - 1) * (Number of columns - 1) (Number of rows + 1) * (Number of columns + 1) 6 / 23 Which method is an alternative to the chi-square test when sample sizes are small in contingency analysis? Pearson correlation Fisher’s Exact Test T-test ANOVA 7 / 23 What kind of variables are typically involved in contingency analysis? Ratio variables Categorical (nominal) variables Continuous variables Interval variables 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 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. 10 / 23 What is tested by the chi-square test in contingency analysis? Equality of variances Normal distribution of data Independence of variables Mean differences between groups 11 / 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 12 / 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 Variables must be continuous 20% of the cells must have 5 or more observations All cells must have observations 13 / 23 What would indicate a strong association in a contingency table analysis? High residuals between observed and expected counts Uniform distribution across the table Low chi-square value Zero degrees of freedom 14 / 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 15 / 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 16 / 23 Which of the following scenarios is an example of using a contingency analysis? Comparing the average heights of men and women Calculating the variance of income across different cities Determining if there is an association between diet type and gender Estimating the relationship between advertising and sales 17 / 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 18 / 23 How can the strength of the association in a contingency table be measured? Through the standard error Using measures like Cramer's V and the contingency coefficient By calculating the range By the coefficient of determination (R²) 19 / 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. 20 / 23 Which statistic measures the strength of association in a contingency table? Beta coefficient T-statistic F-statistic Phi coefficient 21 / 23 What does a significant chi-square test indicate in the context of contingency analysis? The variables are normally distributed The variables are independent of each other The variables are dependent on each other The variables have equal variances 22 / 23 What does the Chi-Square test assess in contingency analysis? Difference in means Variance within groups Linearity of variables Association between categorical variables 23 / 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 Your score is 0% Restart quiz Learn more…MethodsServiceAbout us ContactFeedbackOrder data etc. GeneralImprintPrivacy notice
