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