5. One common idea in our culture is that we need to be wary of strangers as we never know when one may actually be a rapist, an attacker, or a robber. On the other hand, people we know are characterized as safe, trustworthy, and predictable. This idea was touched on in Chapter 5, but now let's expand on those results and add hypothesis tests. Put briefly, the idea of "stranger danger" would lead us to hypothesize that most attackers in a violent crime are unknown: a. If you haven't done so already, select only assault cases that resulted in injury to the victim as described in question 2b. b. Construct a frequency table for the variable "Relationship." What does this tell us about the perpetrators in violent assaults? c. Perhaps strangers are a particular threat to just women as compared with men. To investigate this, do the following: i. Create a cross-tab for the variables "V3018" and "Relationship." Be sure to put your independent variable in the "column" box and to select the column percentage option in the cell menu. ii. Conduct a chi-square hypothesis test in SPSS. To do this, go to the cross-tab dialog box and then select "sta- tistics." Tick off "chi square": 1. The output provided gives the chi-square test statistic and its associated pvalue (labeled "sig"). For now, focus only on the "Pearson's Chi Square" row. 2. Write a few sentences interpreting the hypothesis test; be sure to note your alpha level, the value of your chi-square statistic, and your conclusions about the null hypothesis.Variable indicating the assailant's relationship to the victim * SEX (ALLOCATED) Crosstabulation SEX (ALLOCATED) Male Female 57 32 29.496 12.4% 24 16 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 57.911d 3 <.001 likelihood ratio w linear-by-linear association n of valid cases a. cells have expected count less than the minimum is>