MATH 113 ( ADVANCED STATISTICS)

Which of the following is an example of a parametric test?

• A. Kruskal-Wallis Test

• B. Mann-Whitney U Test

• C. One-way ANOVA

• D. Chi-Square Test

Which of the following tests measures agreement among raters?

• A. Spearman’s Rank Correlation

• B. Kendall’s W Test

• C. Independent t-test

• D. Chi-Square Test

The non-parametric counterpart of the independent t-test is:

• A. Mann-Whitney U Test

• B. Kruskal-Wallis Test

• C. Wilcoxon Signed-Rank Test

• D. Chi-Square Test

The Chi-Square Test is most suitable when your variables are:

• A. Categorical

• B. Continuous

• C. Ordinal

• D. Interval

The main goal of ANOVA is to:

• A. Determine correlation between variables

• B. Compare means of three or more groups

• C. Find the median difference

• D. Measure agreement between rankings

Which test would you use to compare three or more groups with non-normal data?

• A. t-test

• B. ANOVA

• C. Kruskal-Wallis H Test

• D. Pearson’s r

Which of the following statements about parametric and non-parametric tests is correct?

• A. Parametric tests do not require normality

• B. Non-parametric tests use ranked or ordinal data

• C. Non-parametric tests cannot handle small samples

• 
  D. Parametric tests are less affected by outliers

A high Kendall’s W value (close to 1) indicates:

• A. No agreement among raters

• B. Weak positive relationship

• C. Strong agreement among raters

• D. Equal variances in samples

Before using ANOVA, a researcher should ensure:

• A. Equal variances across groups

• B. Unequal sample sizes

• C. Skewed distributions

• D. Data are nominal

If a Chi-Square test finds a significant result (p < 0.05), this means:

• A. There is an association between the categorical variables

• B. The means are significantly different

• C. The groups have equal variances

• D. The variables are independent