4. (Dataset: gss. Variables: malm_col.n, malm_lib.n, malm_spk.n, wtss.) The gss dataset contains three numerics that gauge tolerance toward "anti-American Muslim clergymen"-whether they should be allowed to teach in college (gss$malm_col.n), whether their books should be removed from the library (gss$malm_lib.n), and whether they should be allowed to preach hatred of the United States (gss$malm_spk.n). For each variable, a less tolerant response has a numeric code of 0 and a more tolerant response is coded 1. A. Imagine creating an additive index from these three variables. The additive index would have scores that range between what two values? Between a score of and a score of B. Suppose a respondent takes the more tolerant position on two questions and the less tolerant position on the third question. What score would this respondent have? A score of C. Create an additive index, named gss$muslim_tol, by summing gss$malm_col.n, gss$malm_lib.n, and gss$malm_spk.n. Run freq on gss$muslim_tol, weighting by gss$wtss. Record the scores, frequencies, and valid percentages in the table below. Score on gas$muslim_tol Frequency Valid Percent ? ? ? 100.0