1. The Pearson correlation coefficient:
A. can be used when both qualitative variables are normally distributed.
B. is not affected by outliers.
C. expresses a linear relationship between 2 qualitative variables.
D. can be used when both variables are on the ratio measurement scale

2. The Spearman correlation coefficient:
A. can be used when 2 variables are on nominal measurement scale.
B. is not affected by outliers.
C. expresses a strictly monotonic relationship between 2 quantitative variables.
D. can be used when one variable is normally distributed and one is not.

3. Which of the following statement on Chi-Square Test is correct?
A. It assesses whether a linear relationship exists between 2 quantitative variables.
B. It assesses whether a linear relationship exists between 2 qualitative variables.
C. Can be used to ascertain if there is an association between a nominal variable and an ordinal variable.
D. Can be used to assess the strength of correlation between 2 quantitative variables.

4. The ANOVA test can be used for:
A. comparing the difference in means of 3 or more related groups.
B. comparing the difference in means of up to 3 unrelated groups
C. comparing the difference in means of 3 or more unrelated groups.
D. comparing the difference in means of 3 or more unrelated groups provided the characteristic of interest variable is on a nominal scale of measurement.

5. Which of the following statement on ANOVA is correct when the F-test is significant?
A. We can conclude that the group with the biggest mean is significantly different from the other groups.
B. We can conclude that the means of all the groups are significantly different.
C. We can conclude that at least two means are significantly different from the others but do not know which are the two means.
D. We can conclude that at least one mean is significantly different from the others but have to conduct a post-hoc test (e. g. Bonferroni correction) to determine which mean(s) is/are significantly different from the others.