Cases Valid Missing Total N Percent N Percent N Percent SEX(ALLOCATED)* 1387' 96.996' 44 3.1%. 1431 100.0% Variable indicating the assailants relationship to the victim SEX (ALLOCATED) * Variable indicating the assailant's relationship to the victim Crosstabulation Count Variable indicating the assailant's relationship to the victim slightly casual stranger known acquiant well known Total SEX (ALLOCATED) Male 285 100 146 186 717 Female 118 68 131 353 670 Total 403 168 277 539 1387 2. One of the most common methods for comparing two variables is to construct a cross-tabulation. We'll make one of these that compares victim gender with their relationship to the assailant to practice using the general addition rule of probabilities. To do this, go to analyze->descriptive statis tics ->crosstabs. Then, put gender in the row box and relationship in the columns. a. Using this table, use the general addition rule to calculate the following probabilities: i. Pr(female 0R stranger) ii. Pr(male 0R well known) iii. Pr(male 0R well known) b. Now use the multiplication rule to calculate predicted probabilitiesrecall that this notation refers specifically to conditional probabilities: i. Pr(stranger | female) ii. Pr(stranger | male) iii. Pr(well known | female) iv. Pr(well known | male) v. Zoom out for a moment and think substantively about these results: 1. Which gender has a greater probability of being assaulted by a stranger? By a well-known acquaintance? 2. Do women have a greater probability of being assaulted by a stranger or a well-known acquaintance