What are the bivariate statistics you have learned in this chapter? How can they be used (i.e., what are the levels of measurement they are suitable for)?

What will be an ideal response?

Commonly used bivariate procedures include:
?Cross-tabulation, which can be used when:
oThe independent variable is nominal and the dependent variable is nominal or ordinal
oBoth the independent and dependent variables are ordinal
?Chi-square (?2), which can be used when:
oThe independent variable is nominal and the dependent variable is nominal or ordinal
oBoth the independent and dependent variables are ordinal
?Phi coefficient (?), which can be used when both the independent and dependent variables are nominal
?Coefficient of contingency (C), which can be used when both the independent and dependent variables are nominal
?Cramér’s V, which can be used when both the independent and dependent variables are nominal
?Goodman–Kruskal’s lambda (?), which can be used when the independent variable is nominal and the dependent variable is nominal or ordinal
?Relative risk ratio, which can be used when both the independent and dependent variables are nominal
?Kendall’s tau (?), which can be used when both the independent and dependent variables are ordinal
?Goodman–Kruskal’s gamma (?), which can be used when both the independent and dependent variables are ordinal
?ANOVA, which can be used when the independent variable is nominal and the dependent variable is interval-ratio
?Pearson correlation coefficient (r), which can be used when both the independent and dependent variables are interval-ratio
?Paired t-test, which can be used when the independent variable is nominal and the dependent variable is interval-ratio